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Full Scoreboard »» |
Edmonton Oilers Team Overall:76 16-13-5, 37pts · 6th in Conférence Ouest |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C | 6' 1" | 193 | 23 | 58 | 37 | 84 | 92 | 76 | 89 | 86 | 93 | 82 | 94 | 88 | 63 | 90 | 65 | 84 | 0 | 40 | 84 | 99.00 | 12,500,000$/3yrs | |
0 | ![]() | RW | 6' 0" | 175 | 22 | 56 | 39 | 88 | 86 | 69 | 87 | 85 | 84 | 53 | 91 | 75 | 83 | 86 | 65 | 77 | 0 | 40 | 81 | 100.00 | 10,893,000$/3yrs | |
0 | ![]() | C/RW | 6' 1" | 195 | 25 | 76 | 39 | 86 | 78 | 76 | 85 | 89 | 77 | 83 | 80 | 79 | 85 | 78 | 71 | 73 | 0 | 40 | 80 | 100.00 | 4,850,000$/3yrs | |
0 | ![]() | LW | 6' 1" | 202 | 26 | 63 | 39 | 79 | 83 | 78 | 86 | 89 | 84 | 63 | 89 | 78 | 61 | 82 | 73 | 74 | 0 | 40 | 80 | 100.00 | 5,900,000$/3yrs | |
0 | ![]() | C/LW/RW | 6' 0" | 176 | 22 | 66 | 39 | 88 | 83 | 70 | 85 | 89 | 82 | 86 | 81 | 84 | 79 | 83 | 65 | 71 | 0 | 40 | 80 | 99.00 | 8,454,000$/3yrs | |
0 | ![]() | LW | 6' 0" | 185 | 31 | 64 | 39 | 82 | 76 | 71 | 77 | 81 | 73 | 56 | 71 | 62 | 83 | 67 | 80 | 74 | 0 | 40 | 75 | 100.00 | 2,750,000$/1yrs | |
0 | ![]() | C/LW/RW | 5' 10" | 170 | 21 | 53 | 38 | 84 | 80 | 64 | 83 | 89 | 79 | 58 | 76 | 70 | 56 | 84 | 63 | 64 | 0 | 40 | 74 | 100.00 | 1,673,333$/3yrs | |
0 | ![]() | C | 6' 0" | 183 | 28 | 74 | 39 | 87 | 68 | 71 | 78 | 83 | 67 | 84 | 69 | 70 | 78 | 66 | 77 | 69 | 0 | 40 | 74 | 100.00 | 2,250,000$/1yrs | |
0 | ![]() | RW | 6' 3" | 195 | 25 | 61 | 38 | 89 | 67 | 82 | 84 | 70 | 66 | 53 | 76 | 69 | 81 | 67 | 71 | 65 | 0 | 40 | 74 | 100.00 | 925,000$/3yrs | |
0 | ![]() | LW/RW | 5' 11" | 185 | 24 | 64 | 39 | 80 | 72 | 69 | 77 | 89 | 73 | 54 | 76 | 69 | 62 | 73 | 69 | 68 | 0 | 40 | 74 | 100.00 | 1,000,000$/3yrs | |
0 | ![]() | C/RW | 6' 0" | 197 | 22 | 77 | 52 | 75 | 73 | 74 | 85 | 83 | 72 | 76 | 71 | 69 | 74 | 73 | 65 | 66 | 0 | 40 | 74 | 100.00 | 1,425,000$/3yrs | |
0 | ![]() | LW/RW | 6' 4" | 210 | 24 | 79 | 49 | 81 | 67 | 88 | 78 | 82 | 68 | 53 | 67 | 62 | 71 | 69 | 70 | 68 | 0 | 40 | 73 | 100.00 | 850,000$/3yrs | |
0 | ![]() | D | 6' 4" | 209 | 25 | 79 | 43 | 83 | 78 | 88 | 93 | 84 | 77 | 30 | 82 | 69 | 89 | 58 | 71 | 76 | 0 | 40 | 80 | 98.55 | 5,400,000$/3yrs | |
0 | ![]() | D | 6' 4" | 230 | 34 | 85 | 46 | 79 | 73 | 92 | 90 | 81 | 72 | 30 | 77 | 78 | 83 | 52 | 85 | 92 | 0 | 40 | 80 | 98.00 | 7,857,143$/2yrs | |
0 | ![]() | D | 6' 3" | 193 | 19 | 78 | 43 | 79 | 78 | 82 | 86 | 88 | 77 | 30 | 83 | 66 | 62 | 58 | 62 | 66 | 0 | 40 | 77 | 100.00 | 3,775,000$/3yrs | |
0 | ![]() | D | 6' 0" | 183 | 22 | 81 | 45 | 75 | 73 | 71 | 89 | 83 | 72 | 30 | 78 | 70 | 66 | 53 | 65 | 63 | 0 | 40 | 75 | 100.00 | 913,333$/3yrs | |
0 | ![]() | D | 5' 10" | 170 | 20 | 53 | 38 | 86 | 78 | 64 | 88 | 85 | 76 | 30 | 88 | 69 | 58 | 56 | 61 | 63 | 0 | 40 | 75 | 100.00 | 1,604,167$/3yrs | |
0 | ![]() | D | 6' 3" | 208 | 26 | 68 | 42 | 76 | 70 | 85 | 89 | 84 | 68 | 30 | 77 | 62 | 79 | 54 | 71 | 67 | 0 | 40 | 74 | 100.00 | 5,205,556$/3yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C/LW | 6' 2" | 205 | 27 | 79 | 39 | 86 | 65 | 81 | 72 | 83 | 64 | 76 | 61 | 63 | 74 | 65 | 75 | 69 | 0 | 40 | 72 | 100.00 | 1,000,000$/1yrs | |
0 | ![]() | D | 5' 10" | 170 | 21 | 63 | 38 | 90 | 77 | 64 | 87 | 89 | 76 | 30 | 78 | 61 | 64 | 56 | 63 | 65 | 0 | 40 | 74 | 100.00 | 935,833$/3yrs | |
0 | ![]() | D | 6' 0" | 205 | 23 | 81 | 43 | 79 | 68 | 75 | 83 | 82 | 67 | 30 | 71 | 62 | 69 | 55 | 67 | 65 | 0 | 40 | 72 | 100.00 | 863,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 4" | 207 | 26 | 96 | 93 | 95 | 96 | 96 | 95 | 73 | 77 | 0 | 40 | 80 | 99.00 | 6,166,666$/3yrs | |||||||
0 | ![]() | 6' 1" | 178 | 23 | 88 | 93 | 95 | 88 | 88 | 87 | 67 | 71 | 0 | 40 | 75 | 100.00 | 925,000$/3yrs | |||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Roy | 84 | 89 | 87 | 93 | 81 | 89 | 1 | CAN | 52 | 1 | 5,551,000$ |
General Manager | Sebastien Ross |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor McDavid | 0 | C | 34 | 15 | 23 | 38 | 7 | 2 | 0 | 20 | 122 | 28 | 90 | 12.30% | 8 | 21.09 | 4 | 4 | 8 | 109 | 0 | 0 | 0 | 57 | 2 | 2 | 50.05% | 939 | 0 | 0 | 0 | 0 | 1.06 | 1 | 2 | ||
2 | Mitchell Marner | 0 | RW | 32 | 10 | 22 | 32 | 3 | 0 | 0 | 29 | 99 | 30 | 100 | 10.10% | 9 | 19.72 | 0 | 7 | 7 | 113 | 0 | 0 | 0 | 25 | 1 | 0 | 41.10% | 73 | 0 | 0 | 0 | 0 | 1.01 | 0 | 1 | ||
3 | Sebastian Aho | 0 | C/LW/RW | 33 | 14 | 15 | 29 | 1 | 8 | 0 | 39 | 83 | 20 | 72 | 16.87% | 13 | 19.53 | 4 | 4 | 8 | 105 | 0 | 0 | 0 | 80 | 1 | 0 | 53.13% | 256 | 0 | 0 | 0 | 0 | 0.90 | 1 | 3 | ||
4 | Seth Jones | 0 | D | 30 | 9 | 14 | 23 | 7 | 28 | 0 | 45 | 66 | 12 | 32 | 13.64% | 51 | 24.45 | 5 | 1 | 6 | 120 | 0 | 0 | 0 | 77 | 4 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
5 | Jonathan Huberdeau | 0 | LW | 34 | 8 | 11 | 19 | 6 | 8 | 0 | 27 | 88 | 19 | 77 | 9.09% | 1 | 19.44 | 3 | 1 | 4 | 124 | 0 | 0 | 0 | 46 | 0 | 2 | 38.46% | 52 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | ||
6 | Shea Weber | 0 | D | 35 | 6 | 13 | 19 | -4 | 46 | 0 | 104 | 75 | 25 | 65 | 8.00% | 38 | 25.06 | 2 | 3 | 5 | 129 | 0 | 0 | 0 | 105 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
7 | Elias Lindholm | 0 | C/RW | 31 | 5 | 9 | 14 | 1 | 20 | 0 | 50 | 84 | 26 | 66 | 5.95% | 15 | 18.14 | 1 | 1 | 2 | 82 | 0 | 1 | 1 | 58 | 1 | 0 | 47.69% | 455 | 0 | 0 | 0 | 0 | 0.50 | 0 | 1 | ||
8 | Ilya Mikheyev | 0 | RW | 35 | 7 | 7 | 14 | 0 | 4 | 0 | 12 | 42 | 14 | 38 | 16.67% | 6 | 12.01 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 49 | 1 | 0 | 36.11% | 36 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
9 | Filip Hronek | 0 | D | 34 | 2 | 11 | 13 | 11 | 31 | 5 | 77 | 25 | 8 | 18 | 8.00% | 30 | 19.63 | 1 | 3 | 4 | 113 | 0 | 0 | 0 | 94 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
10 | Quinn Hughes | 0 | D | 34 | 1 | 11 | 12 | 0 | 8 | 0 | 25 | 14 | 7 | 15 | 7.14% | 32 | 20.55 | 0 | 4 | 4 | 66 | 0 | 0 | 0 | 68 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
11 | Rasmus Dahlin | 0 | D | 33 | 2 | 9 | 11 | -1 | 12 | 0 | 66 | 18 | 6 | 14 | 11.11% | 21 | 20.95 | 0 | 2 | 2 | 81 | 1 | 0 | 1 | 73 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
12 | Valeri Nichushkin | 0 | LW/RW | 34 | 2 | 8 | 10 | 3 | 10 | 0 | 46 | 25 | 10 | 22 | 8.00% | 4 | 10.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 39.13% | 23 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
13 | Luke Kunin | 0 | C/RW | 34 | 3 | 6 | 9 | -4 | 20 | 0 | 47 | 48 | 14 | 34 | 6.25% | 3 | 11.45 | 0 | 3 | 3 | 72 | 0 | 0 | 0 | 0 | 0 | 0 | 45.22% | 157 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
14 | Hampus Lindholm | 0 | D | 25 | 2 | 6 | 8 | -10 | 24 | 0 | 38 | 17 | 3 | 12 | 11.76% | 29 | 18.02 | 0 | 2 | 2 | 39 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
15 | Clayton Keller | 0 | C/LW/RW | 34 | 3 | 4 | 7 | -5 | 4 | 0 | 11 | 36 | 10 | 28 | 8.33% | 1 | 11.30 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 25 | 0 | 0 | 24.49% | 49 | 0 | 0 | 0 | 0 | 0.36 | 1 | 1 | ||
16 | Samuel Girard | 0 | D | 26 | 3 | 4 | 7 | -8 | 18 | 0 | 24 | 17 | 6 | 8 | 17.65% | 21 | 14.39 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
17 | Carl Hagelin | 0 | LW | 35 | 0 | 6 | 6 | -2 | 4 | 0 | 11 | 56 | 17 | 29 | 0.00% | 5 | 12.71 | 0 | 2 | 2 | 12 | 0 | 0 | 0 | 100 | 0 | 0 | 34.78% | 46 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
18 | Cody Eakin | 0 | C | 28 | 3 | 2 | 5 | -2 | 4 | 0 | 12 | 23 | 9 | 24 | 13.04% | 5 | 10.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 51.18% | 297 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
19 | Kevin Labanc | 0 | LW/RW | 32 | 1 | 1 | 2 | -3 | 2 | 0 | 11 | 19 | 3 | 12 | 5.26% | 0 | 7.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 27.78% | 36 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
20 | Travis Dermott | 0 | D | 5 | 0 | 1 | 1 | 1 | 0 | 0 | 6 | 0 | 0 | 2 | 0.00% | 2 | 11.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
21 | Tomas Nosek | 0 | C/LW | 7 | 0 | 0 | 0 | -2 | 2 | 0 | 7 | 7 | 0 | 3 | 0.00% | 0 | 7.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 51.02% | 49 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 625 | 96 | 183 | 279 | -1 | 255 | 5 | 707 | 964 | 267 | 761 | 9.96% | 294 | 16.59 | 20 | 37 | 57 | 1205 | 1 | 2 | 3 | 959 | 12 | 6 | 47.85% | 2468 | 0 | 0 | 0 | 0 | 0.54 | 3 | 9 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 29 | 14 | 10 | 4 | 0.905 | 2.67 | 1706 | 4 | 2 | 76 | 801 | 0 | 2 | 0 | 1.000 | 13 | 29 | 5 | 2 | 1 | 0 | |
2 | Alexandar Georgiev | 7 | 2 | 3 | 1 | 0.882 | 3.51 | 359 | 0 | 0 | 21 | 178 | 0 | 0 | 0 | 0.000 | 0 | 5 | 29 | 0 | 0 | 0 | |
Team Total or Average | 36 | 16 | 13 | 5 | 0.901 | 2.82 | 2065 | 4 | 2 | 97 | 979 | 0 | 2 | 0 | 1.000 | 13 | 34 | 34 | 2 | 1 | 0 |
Projected Total Cap Hit | 88,116,031$ |
Projected Cap Space | 3,383,969$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 |
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Alexandar Georgiev ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Carl Hagelin ![]() | LW | 31 | 2,750,000$ | 2,750,000$ | |||||||
Clayton Keller ![]() | C/LW/RW | 21 | 1,673,333$ | 1,673,333$ | 1,673,333$ | 1,673,333$ | |||||
Cody Eakin ![]() | C | 28 | 2,250,000$ | 2,250,000$ | |||||||
Connor Hellebuyck ![]() | C/RW | 26 | 6,166,666$ | 6,166,666$ | 6,166,666$ | 6,166,666$ | |||||
Connor McDavid ![]() | C | 23 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | |||||
Elias Lindholm ![]() | C/RW | 25 | 4,850,000$ | 4,850,000$ | 4,850,000$ | 4,850,000$ | |||||
Filip Hronek ![]() | D | 22 | 913,333$ | 913,333$ | 913,333$ | 913,333$ | |||||
Hampus Lindholm ![]() | D | 26 | 5,205,556$ | 5,205,556$ | 5,205,556$ | 5,205,556$ | |||||
Ilya Mikheyev ![]() | RW | 25 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jonathan Huberdeau ![]() | LW | 26 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | |||||
Kevin Labanc ![]() | LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Luke Kunin ![]() | C/RW | 22 | 1,425,000$ | 1,425,000$ | 1,425,000$ | 1,425,000$ | |||||
Mitchell Marner ![]() | RW | 22 | 10,893,000$ | 10,893,000$ | 10,893,000$ | 10,893,000$ | |||||
Quinn Hughes ![]() | D | 20 | 1,604,167$ | 1,604,167$ | 1,604,167$ | 1,604,167$ | |||||
Rasmus Dahlin ![]() | D | 19 | 3,775,000$ | 3,775,000$ | 3,775,000$ | 3,775,000$ | |||||
Samuel Girard ![]() | D | 21 | 935,833$ | 935,833$ | 935,833$ | 935,833$ | |||||
Sebastian Aho ![]() | C/LW/RW | 22 | 8,454,000$ | 8,454,000$ | 8,454,000$ | 8,454,000$ | |||||
Seth Jones ![]() | D | 25 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | |||||
Shea Weber ![]() | D | 34 | 7,857,143$ | 7,857,143$ | 7,857,143$ | ||||||
Tomas Nosek ![]() | C/LW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Travis Dermott ![]() | D | 23 | 863,000$ | 863,000$ | 863,000$ | 863,000$ | |||||
Valeri Nichushkin ![]() | LW/RW | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 20 | 6 | 4 | 10 | 0 | 32 | 11 | 8 | 21 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 20 | 13 | 27 | 7 | 12 | 5 | 37.5% | 15.0% | 84.4% | 99.4 | FUN | |
2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 27 | 5 | 16 | 6 | 0 | 29 | 9 | 8 | 13 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 24 | 16 | 23 | 7 | 13 | 6 | 50.0% | 11.1% | 86.2% | 97.3 | FUN | |
3 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 7 | 4 | 5 | 0.833 | 11 | 19 | 30 | 0 | 0 | 5 | 4 | 2 | 0 | 74 | 23 | 24 | 26 | 1 | 79 | 20 | 27 | 74 | 16 | 4 | 25.00% | 9 | 1 | 88.89% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 73 | 51 | 70 | 22 | 38 | 20 | 53.8% | 14.9% | 91.1% | 106.0 | Unlucky | |
4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 2 | 4 | 0 | 0 | 66 | 25 | 20 | 21 | 0 | 86 | 31 | 25 | 47 | 6 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 70 | 49 | 74 | 21 | 35 | 16 | 40.0% | 9.1% | 88.4% | 97.5 | FUN | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 44 | 14 | 19 | 11 | 0 | 68 | 18 | 14 | 41 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 45 | 31 | 51 | 14 | 23 | 11 | 28.6% | 4.5% | 91.2% | 95.7 | DULL | |
6 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 2 | 3 | 0 | 1 | 45 | 15 | 23 | 6 | 1 | 67 | 18 | 26 | 42 | 10 | 1 | 10.00% | 11 | 2 | 81.82% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 48 | 32 | 49 | 15 | 24 | 12 | 55.6% | 13.3% | 91.0% | 104.4 | FUN | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 1 | 1 | 1 | 3 | 0 | 55 | 18 | 14 | 23 | 0 | 56 | 11 | 18 | 40 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 48 | 32 | 44 | 15 | 26 | 13 | 50.0% | 9.1% | 89.3% | 98.4 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 27 | 6 | 11 | 10 | 0 | 29 | 3 | 8 | 21 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 25 | 18 | 21 | 7 | 12 | 6 | 33.3% | 14.8% | 75.9% | 90.7 | FUN | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 20 | 8 | 6 | 6 | 0 | 25 | 8 | 6 | 19 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 23 | 16 | 24 | 7 | 12 | 6 | 50.0% | 15.0% | 92.0% | 107.0 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 21 | 5 | 9 | 7 | 0 | 36 | 5 | 8 | 25 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 21 | 14 | 25 | 8 | 13 | 6 | 100.0% | 9.5% | 100.0% | 109.5 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 34 | 12 | 9 | 13 | 0 | 27 | 5 | 6 | 24 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 26 | 19 | 23 | 6 | 9 | 5 | 71.4% | 14.7% | 88.9% | 103.6 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 3 | 1 | 0 | 35 | 10 | 20 | 5 | 0 | 23 | 12 | 8 | 20 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 26 | 18 | 21 | 7 | 12 | 5 | 62.5% | 17.1% | 87.0% | 104.1 | FUN | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 67 | 26 | 26 | 15 | 0 | 62 | 15 | 22 | 51 | 4 | 2 | 50.00% | 11 | 2 | 81.82% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 52 | 36 | 44 | 13 | 23 | 12 | 100.0% | 13.4% | 96.8% | 110.2 | LUCKY | |
14 | 4 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 7 | 10 | -3 | 3 | 0.375 | 7 | 11 | 18 | 0 | 0 | 3 | 3 | 0 | 1 | 116 | 43 | 37 | 34 | 5 | 105 | 28 | 24 | 88 | 13 | 1 | 7.69% | 10 | 3 | 70.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 100 | 72 | 92 | 28 | 52 | 26 | 46.2% | 6.0% | 90.5% | 96.5 | Unlucky | |
15 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 16 | 26 | 0 | 0 | 2 | 2 | 5 | 1 | 92 | 32 | 30 | 27 | 10 | 72 | 28 | 20 | 62 | 12 | 1 | 8.33% | 9 | 1 | 88.89% | 1 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 75 | 53 | 72 | 20 | 37 | 18 | 52.9% | 10.9% | 87.5% | 98.4 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 12 | 9 | 4 | 0 | 29 | 5 | 8 | 27 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 25 | 17 | 23 | 7 | 11 | 6 | 40.0% | 8.0% | 89.7% | 97.7 | Unlucky | |
17 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 86 | 25 | 37 | 24 | 0 | 90 | 32 | 20 | 67 | 14 | 3 | 21.43% | 10 | 2 | 80.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 69 | 49 | 75 | 21 | 35 | 17 | 37.5% | 7.0% | 92.2% | 99.2 | DULL | |
18 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 9 | 16 | 0 | 0 | 1 | 1 | 4 | 1 | 64 | 24 | 18 | 21 | 3 | 64 | 15 | 10 | 45 | 12 | 3 | 25.00% | 4 | 0 | 100.00% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 47 | 32 | 54 | 16 | 26 | 12 | 36.4% | 10.9% | 89.1% | 100.0 | FUN | |
_Vs Division | 7 | 2 | 1 | 0 | 0 | 3 | 1 | 0 | 24 | 23 | 1 | 9 | 0.643 | 24 | 40 | 64 | 0 | 0 | 7 | 7 | 9 | 1 | 185 | 58 | 62 | 63 | 4 | 204 | 55 | 53 | 153 | 35 | 7 | 20.00% | 21 | 2 | 90.48% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 166 | 113 | 175 | 53 | 91 | 45 | 44.7% | 13.0% | 88.7% | 101.7 | FUN | |
_Vs Conference | 17 | 5 | 4 | 0 | 1 | 5 | 2 | 0 | 50 | 50 | 0 | 21 | 0.618 | 50 | 84 | 134 | 0 | 1 | 17 | 18 | 12 | 3 | 455 | 154 | 151 | 145 | 10 | 484 | 125 | 133 | 366 | 71 | 11 | 15.49% | 57 | 10 | 82.46% | 0 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 414 | 288 | 410 | 126 | 217 | 109 | 49.4% | 11.0% | 89.7% | 100.7 | FUN | |
_Since Last GM Reset | 34 | 12 | 13 | 0 | 1 | 5 | 3 | 0 | 97 | 97 | 0 | 37 | 0.544 | 97 | 171 | 268 | 0 | 2 | 28 | 38 | 27 | 4 | 918 | 309 | 332 | 269 | 20 | 979 | 274 | 266 | 727 | 135 | 20 | 14.81% | 118 | 18 | 84.75% | 1 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 824 | 576 | 820 | 248 | 422 | 210 | 49.4% | 10.6% | 90.1% | 100.7 | FUN | |
Total | 34 | 12 | 13 | 0 | 1 | 5 | 3 | 0 | 97 | 97 | 0 | 37 | 0.544 | 97 | 171 | 268 | 0 | 2 | 28 | 38 | 27 | 4 | 918 | 309 | 332 | 269 | 20 | 979 | 274 | 266 | 727 | 135 | 20 | 14.81% | 118 | 18 | 84.75% | 1 | 552 | 1098 | 50.27% | 585 | 1186 | 49.33% | 249 | 520 | 47.88% | 824 | 576 | 820 | 248 | 422 | 210 | 49.4% | 10.6% | 90.1% | 100.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1098 |
Neutral Zone Start | 520 |
Defensive Zone Start | 1186 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1386 |
Faceoffs Lost | 1418 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 26.8 | 30.68 |
Overtime | 27.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 76 |
---|---|
PP Goal | 20 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 7 |
Lost | 6 | 7 |
Overtime Lost | 2 | 3 |
PP Attempt | 135 |
---|---|
PP Goal | 20 |
PK Attempt | 118 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 27.0 |
Shots Against | 28.8 |
Goals For | 2.9 |
Goals Against | 2.9 |
Hits | 21.4 |
Shots Blocked | 8.1 |
Pim | 7.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-11-22 | @ | Capitals4,Oilers3 (OT) | RECAP | ||
2020-11-24 | @ | Flames5,Oilers3 | RECAP | ||
2020-11-25 | @ | Oilers4,Jets3 (SO) | RECAP | ||
2020-11-27 | @ | Oilers1,Rangers3 | RECAP | ||
2020-11-29 | @ | Oilers1,Canadiens4 | RECAP | ||
2020-12-01 | @ | Islanders3,Oilers6 | RECAP | ||
2020-12-04 | @ | Oilers1,Kings2 (OT) | RECAP | ||
2020-12-06 | @ | Hurricanes5,Oilers2 | RECAP | ||
2020-12-08 | @ | Oilers3,Golden Knights4 (OT) | RECAP | ||
2020-12-09 | @ | Kings3,Oilers7 | RECAP | ||
2020-12-12 | @ | Oilers0,Panthers2 | RECAP | ||
2020-12-13 | @ | Golden Knights3,Oilers4 (SO) | RECAP | ||
2020-12-15 | @ | Panthers1,Oilers4 | RECAP | ||
2020-12-17 | @ | Oilers4,Maple Leafs7 | RECAP | ||
2020-12-19 | @ | Sabres1,Oilers4 | RECAP | ||
2020-12-21 | @ | Oilers5,Blackhawks3 | RECAP | ||
2020-12-22 | @ | Rangers3,Oilers1 | RECAP | ||
2020-12-25 | @ | Oilers5,Canadiens2 | RECAP | ||
2020-12-26 | @ | Oilers0,Jets1 | RECAP | ||
2020-12-27 | @ | Penguins3,Oilers2 | RECAP | ||
2020-12-30 | @ | Avalanche6,Oilers3 | RECAP | ||
2021-01-01 | @ | Oilers3,Red Wings4 (OT) | RECAP | ||
2021-01-04 | @ | Canadiens3,Oilers4 (SO) | RECAP | ||
2021-01-06 | @ | Oilers3,Red Wings2 (OT) | RECAP | ||
2021-01-08 | @ | Avalanche0,Oilers2 | RECAP | ||
2021-01-09 | @ | Oilers3,Kings2 | RECAP | ||
2021-01-11 | @ | Predators2,Oilers3 | RECAP | ||
2021-01-12 | @ | Oilers3,Hurricanes2 | RECAP | ||
2021-01-15 | @ | Oilers1,Hurricanes3 | RECAP | ||
2021-01-16 | @ | Jets3,Oilers1 | RECAP | ||
2021-01-19 | @ | Sabres1,Oilers5 | RECAP | ||
2021-01-20 | @ | Oilers2,Bruins0 | RECAP | ||
2021-01-23 | @ | Oilers2,Panthers4 | RECAP | ||
2021-01-24 | @ | Jets3,Oilers2 (OT) | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
88,116,031$ | 0$ | 88,116,031$ | 3,383,969$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Rogers Place | |
City | Edmonton | ||
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 | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
24 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
88,116,031$ | 88,116,031$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 88,116,031$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 99 | 550,983$ | 54,547,317$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
72,088,137$ | 88,116,031$ | 10,000,000$ | -62,088,137$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Cole Fonstad | |||||
Cole Schwindt | |||||
Hugo Alnefelt | |||||
Ilya Konovalov | |||||
Jamieson Rees | |||||
Matej Tomek | |||||
Vasili Podkolzin |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Cole Fonstad | |||||
Cole Schwindt | |||||
Hugo Alnefelt | |||||
Ilya Konovalov | |||||
Jamieson Rees | |||||
Matej Tomek | |||||
Vasili Podkolzin |
|