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Edmonton Oilers 8-9-0, 16pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 77 | 36 | 93 | 65 | 87 | 82 | 86 | 67 | 59 | 64 | 66 | 79 | 68 | 71 | 69 | 70 | 82 | 0 | 29 | 2,499,000$/3yrs | |||
![]() | 0 | C | 100.00 | 74 | 42 | 93 | 77 | 81 | 68 | 89 | 71 | 80 | 76 | 72 | 69 | 53 | 94 | 97 | 64 | 82 | 0 | 37 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 58 | 79 | 73 | 77 | 90 | 81 | 75 | 60 | 78 | 84 | 71 | 73 | 68 | 70 | 59 | 83 | 0 | 28 | 4,700,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 89 | 76 | 70 | 65 | 77 | 85 | 88 | 66 | 75 | 67 | 63 | 73 | 62 | 88 | 75 | 43 | 81 | 0 | 35 | 3,800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 40 | 83 | 74 | 85 | 86 | 89 | 75 | 57 | 71 | 78 | 61 | 77 | 78 | 75 | 70 | 81 | 0 | 30 | 4,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 68 | 42 | 82 | 70 | 79 | 86 | 88 | 71 | 56 | 70 | 71 | 72 | 69 | 75 | 73 | 62 | 77 | 0 | 30 | 1,420,000$/2yrs | |||
![]() | 0 | C | 100.00 | 83 | 45 | 87 | 74 | 68 | 95 | 90 | 70 | 91 | 71 | 73 | 84 | 70 | 75 | 72 | 50 | 78 | 0 | 30 | 7,142,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 33 | 94 | 67 | 70 | 78 | 89 | 66 | 85 | 65 | 64 | 80 | 63 | 77 | 79 | 21 | 81 | 0 | 36 | 1,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 36 | 81 | 84 | 81 | 88 | 90 | 84 | 61 | 79 | 80 | 77 | 77 | 68 | 71 | 82 | 81 | 0 | 26 | 6,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 34 | 88 | 83 | 70 | 92 | 94 | 82 | 85 | 81 | 84 | 79 | 83 | 69 | 74 | 75 | 77 | 0 | 25 | 8,454,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 55 | 39 | 94 | 72 | 80 | 86 | 89 | 70 | 71 | 72 | 76 | 74 | 72 | 64 | 67 | 54 | 77 | 0 | 24 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 57 | 74 | 63 | 92 | 90 | 89 | 61 | 30 | 74 | 58 | 84 | 51 | 72 | 71 | 62 | 77 | 0 | 30 | 1,450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 46 | 77 | 59 | 88 | 85 | 74 | 56 | 30 | 64 | 55 | 84 | 45 | 85 | 75 | 23 | 77 | 0 | 36 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 72 | 74 | 65 | 99 | 95 | 87 | 61 | 30 | 74 | 59 | 86 | 45 | 82 | 73 | 52 | 82 | 0 | 33 | 3,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 77 | 76 | 63 | 90 | 83 | 88 | 59 | 30 | 64 | 55 | 80 | 47 | 77 | 76 | 38 | 82 | 0 | 34 | 1,370,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 42 | 86 | 67 | 96 | 90 | 87 | 63 | 30 | 66 | 64 | 88 | 52 | 69 | 67 | 73 | 85 | 0 | 26 | 4,100,000$/5yrs | |||
![]() | 0 | D | 100.00 | 62 | 35 | 86 | 73 | 76 | 89 | 81 | 74 | 30 | 85 | 73 | 90 | 59 | 69 | 71 | 50 | 81 | 0 | 29 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 75 | 69 | 65 | 78 | 89 | 84 | 63 | 30 | 68 | 56 | 83 | 49 | 65 | 67 | 69 | 67 | 0 | 25 | 2,000,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 65 | 38 | 93 | 70 | 76 | 83 | 82 | 69 | 57 | 65 | 68 | 72 | 71 | 69 | 67 | 54 | 66 | 0 | 26 | 3,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 90 | 81 | 70 | 66 | 85 | 79 | 86 | 64 | 73 | 67 | 63 | 62 | 58 | 65 | 67 | 64 | 36 | 0 | 26 | 1,400,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 63 | 37 | 77 | 80 | 71 | 89 | 84 | 78 | 58 | 79 | 81 | 64 | 82 | 69 | 73 | 81 | 65 | 0 | 26 | 7,875,000$/7yrs | |||
TEAM AVERAGE | 100.00 | 74 | 50 | 82 | 70 | 81 | 86 | 86 | 69 | 56 | 71 | 69 | 77 | 63 | 74 | 73 | 58 | 76 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 82 | 70 | 72 | 69 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 87 | 91 | 48 | 20 | 0 | 37 | 1,615,000$/1yrs |
![]() | 0 | 100.00 | 91 | 92 | 89 | 83 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 69 | 81 | 54 | 81 | 0 | 29 | 4,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 82 | 83 | 82 | 84 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 72 | 82 | 56 | 79 | 0 | 28 | 850,000$/1yrs |
TEAM AVERAGE | 100.00 | 85 | 82 | 81 | 79 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 76 | 85 | 53 | 60 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig Berube | 81 | 87 | 90 | 85 | 84 | 78 | 64 | CAN | 56 | 1 | 500,000$ |
General Manager | William Forest |
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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 | Sebastian Aho | 0 | C | 17 | 10 | 9 | 19 | 6 | 2 | 0 | 5 | 71 | 18 | 47 | 14.08% | 9 | 21.03 | 2 | 0 | 2 | 28 | 0 | 0 | 0 | 0 | 0 | 1 | 51.32% | 491 | 15 | 8 | 0 | 0 | 1.06 | 0 | 0 | ||
2 | Timo Meier | 0 | LW/RW | 17 | 7 | 11 | 18 | 4 | 2 | 0 | 45 | 85 | 19 | 49 | 8.24% | 8 | 22.20 | 1 | 2 | 3 | 28 | 0 | 0 | 0 | 19 | 0 | 0 | 41.18% | 51 | 19 | 4 | 0 | 0 | 0.95 | 0 | 0 | ||
3 | Devon Toews | 0 | D | 17 | 3 | 14 | 17 | 9 | 2 | 0 | 15 | 34 | 12 | 23 | 8.82% | 20 | 27.47 | 0 | 3 | 3 | 29 | 0 | 0 | 0 | 18 | 1 | 0 | 0.00% | 0 | 14 | 13 | 0 | 0 | 0.73 | 0 | 0 | ||
4 | Tyler Bertuzzi | 0 | LW/RW | 17 | 7 | 9 | 16 | 3 | 4 | 0 | 22 | 77 | 20 | 31 | 9.09% | 7 | 18.03 | 1 | 0 | 1 | 19 | 0 | 0 | 0 | 4 | 1 | 0 | 50.00% | 22 | 9 | 8 | 0 | 0 | 1.04 | 0 | 0 | ||
5 | Nino Niederreiter | 0 | LW/RW | 17 | 7 | 9 | 16 | 4 | 0 | 0 | 25 | 49 | 13 | 31 | 14.29% | 6 | 17.52 | 0 | 1 | 1 | 19 | 0 | 0 | 0 | 0 | 2 | 0 | 33.33% | 12 | 14 | 3 | 0 | 0 | 1.07 | 0 | 0 | ||
6 | Kevin Fiala | 0 | LW | 17 | 3 | 10 | 13 | 7 | 4 | 0 | 29 | 36 | 10 | 32 | 8.33% | 5 | 20.29 | 0 | 1 | 1 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 55.17% | 29 | 10 | 13 | 0 | 0 | 0.75 | 0 | 0 | ||
7 | Jean-Gabriel Pageau | 0 | C | 17 | 4 | 8 | 12 | 1 | 0 | 0 | 36 | 44 | 12 | 18 | 9.09% | 8 | 15.91 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 47.84% | 255 | 3 | 8 | 0 | 0 | 0.89 | 0 | 0 | ||
8 | Eric Staal | 0 | C | 17 | 3 | 4 | 7 | -3 | 0 | 0 | 15 | 35 | 11 | 19 | 8.57% | 3 | 13.09 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 54.05% | 148 | 10 | 1 | 0 | 0 | 0.63 | 0 | 0 | ||
9 | Brandon Carlo | 0 | D | 17 | 1 | 6 | 7 | 8 | 4 | 0 | 31 | 26 | 6 | 3 | 3.85% | 18 | 23.74 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 17 | 1 | 0 | 0.00% | 0 | 2 | 14 | 0 | 0 | 0.35 | 0 | 0 | ||
10 | Tanner Pearson | 0 | LW | 17 | 3 | 3 | 6 | -6 | 4 | 0 | 19 | 31 | 14 | 33 | 9.68% | 3 | 12.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 9 | 2 | 0 | 0 | 0.56 | 0 | 0 | ||
11 | Derek Ryan | 0 | C/RW | 17 | 3 | 2 | 5 | -5 | 0 | 0 | 6 | 20 | 5 | 15 | 15.00% | 8 | 13.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 30.00% | 10 | 1 | 2 | 1 | 0 | 0.44 | 0 | 0 | ||
12 | Tyler Myers | 0 | D | 17 | 0 | 4 | 4 | 1 | 2 | 0 | 31 | 19 | 6 | 5 | 0.00% | 25 | 23.17 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5 | 18 | 0 | 0 | 0.20 | 0 | 0 | ||
13 | Yegor Sharangovich | 0 | C/LW/RW | 17 | 4 | 0 | 4 | 1 | 0 | 0 | 5 | 34 | 8 | 21 | 11.76% | 2 | 9.97 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 4 | 0 | 0 | 44.44% | 90 | 8 | 6 | 0 | 0 | 0.47 | 0 | 0 | ||
14 | Scott Mayfield | 0 | D | 17 | 0 | 3 | 3 | -5 | 4 | 0 | 15 | 16 | 6 | 4 | 0.00% | 22 | 16.03 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 3 | 13 | 0 | 0 | 0.22 | 0 | 0 | ||
15 | Jeremy Lauzon | 0 | D | 16 | 0 | 3 | 3 | -1 | 11 | 5 | 31 | 10 | 6 | 7 | 0.00% | 16 | 17.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 6 | 0 | 0 | 0.21 | 0 | 0 | ||
16 | Nick Foligno | 0 | C/LW/RW | 17 | 0 | 1 | 1 | 1 | 4 | 0 | 27 | 9 | 9 | 15 | 0.00% | 2 | 8.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 66.67% | 3 | 4 | 2 | 0 | 0 | 0.14 | 0 | 0 | ||
17 | Roman Polak | 0 | D | 17 | 0 | 1 | 1 | -4 | 27 | 5 | 30 | 5 | 2 | 3 | 0.00% | 20 | 14.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 3 | 9 | 0 | 0 | 0.08 | 0 | 0 | ||
18 | Joel Armia | 0 | LW/RW | 17 | 0 | 0 | 0 | -1 | 2 | 0 | 10 | 20 | 7 | 11 | 0.00% | 2 | 9.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 50.00% | 4 | 2 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Robert Bortuzzo | 0 | D | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 1.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Oskar Lindblom | 0 | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Keegan Kolesar | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 326 | 55 | 97 | 152 | 20 | 72 | 10 | 397 | 621 | 184 | 368 | 8.86% | 184 | 15.94 | 4 | 8 | 12 | 241 | 0 | 0 | 0 | 136 | 8 | 1 | 49.64% | 1120 | 132 | 135 | 1 | 0 | 0.58 | 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 | Elvis Merzlikins | 14 | 7 | 6 | 1 | 0.912 | 2.78 | 863 | 0 | 0 | 40 | 452 | 193 | 0 | 1 | 0.000 | 0 | 14 | 3 | 0 | 0 | 1 | |
2 | Joonas Korpisalo | 2 | 1 | 1 | 0 | 0.843 | 4.03 | 119 | 0 | 0 | 8 | 51 | 17 | 0 | 0 | 0.000 | 0 | 2 | 8 | 0 | 0 | 0 | |
3 | Jaroslav Halak | 1 | 0 | 1 | 0 | 0.879 | 4.00 | 60 | 0 | 0 | 4 | 33 | 16 | 0 | 0 | 0.000 | 0 | 1 | 6 | 0 | 0 | 0 | |
Team Total or Average | 17 | 8 | 8 | 1 | 0.903 | 2.99 | 1043 | 0 | 0 | 52 | 536 | 226 | 0 | 1 | 0.000 | 0 | 17 | 17 | 0 | 0 | 1 |
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 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 18 | 6 | 8 | 0.571 | 24 | 43 | 67 | 0 | 0 | 10 | 8 | 6 | 0 | 267 | 92 | 97 | 72 | 6 | 198 | 64 | 53 | 176 | 20 | 3 | 15.00% | 14 | 3 | 78.57% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 168 | 104 | 148 | 64 | 124 | 62 | 58.3% | 9.0% | 90.9% | 99.9 | FUN | |
2 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 0 | 0.000 | 12 | 18 | 30 | 1 | 0 | 5 | 4 | 3 | 0 | 146 | 59 | 49 | 38 | 0 | 138 | 46 | 11 | 86 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 90 | 55 | 85 | 31 | 64 | 33 | 41.4% | 8.2% | 87.0% | 95.2 | Unlucky | |
3 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 8 | 0.667 | 19 | 36 | 55 | 0 | 0 | 3 | 11 | 4 | 1 | 208 | 60 | 71 | 71 | 6 | 201 | 74 | 8 | 135 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 127 | 80 | 139 | 51 | 97 | 47 | 54.5% | 9.1% | 91.5% | 100.7 | LUCKY | |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 8 | 0.667 | 19 | 36 | 55 | 0 | 0 | 3 | 11 | 4 | 1 | 208 | 60 | 71 | 71 | 6 | 201 | 74 | 8 | 135 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 127 | 80 | 139 | 51 | 97 | 47 | 54.5% | 9.1% | 91.5% | 100.7 | LUCKY | |
_Vs Conference | 17 | 8 | 9 | 0 | 0 | 0 | 0 | 0 | 55 | 53 | 2 | 16 | 0.471 | 55 | 97 | 152 | 1 | 0 | 18 | 23 | 13 | 1 | 621 | 211 | 217 | 181 | 12 | 537 | 184 | 72 | 397 | 27 | 4 | 14.81% | 21 | 6 | 71.43% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 385 | 240 | 373 | 147 | 287 | 143 | 52.0% | 8.9% | 90.1% | 99.0 | Unlucky | |
_Since Last GM Reset | 17 | 8 | 9 | 0 | 0 | 0 | 0 | 0 | 55 | 53 | 2 | 16 | 0.471 | 55 | 97 | 152 | 1 | 0 | 18 | 23 | 13 | 1 | 621 | 211 | 217 | 181 | 12 | 537 | 184 | 72 | 397 | 27 | 4 | 14.81% | 21 | 6 | 71.43% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 385 | 240 | 373 | 147 | 287 | 143 | 52.0% | 8.9% | 90.1% | 99.0 | Unlucky | |
Total | 17 | 8 | 9 | 0 | 0 | 0 | 0 | 0 | 55 | 53 | 2 | 16 | 0.471 | 55 | 97 | 152 | 1 | 0 | 18 | 23 | 13 | 1 | 621 | 211 | 217 | 181 | 12 | 537 | 184 | 72 | 397 | 27 | 4 | 14.81% | 21 | 6 | 71.43% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 385 | 240 | 373 | 147 | 287 | 143 | 52.0% | 8.9% | 90.1% | 99.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 454 |
Neutral Zone Start | 271 |
Defensive Zone Start | 395 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 556 |
Faceoffs Lost | 564 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.4 | 9.57 |
2nd Period | 25.2 | 20.31 |
3rd Period | 35.8 | 30.68 |
Overtime | 36.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 4 |
Lost | 5 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 27 |
---|---|
PP Goal | 4 |
PK Attempt | 21 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 36.5 |
Shots Against | 31.6 |
Goals For | 3.2 |
Goals Against | 3.1 |
Hits | 23.4 |
Shots Blocked | 10.8 |
Pim | 4.2 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 5,625,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Oilers Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Carlo | D | 26 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | ||
Derek Ryan | C/RW | 36 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Devon Toews | D | 29 | 2,750,000$ | 2,750,000$ | |||||||
Elvis Merzlikins ![]() | G | 29 | 4,000,000$ | 4,000,000$ | |||||||
Eric Staal | C | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jaroslav Halak | G | 37 | 1,615,000$ | 1,615,000$ | UFA | ||||||
Jean-Gabriel Pageau | C | 30 | 7,142,000$ | 7,142,000$ | 7,142,000$ | 7,142,000$ | UFA | ||||
Jeremy Lauzon ![]() | D | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||
Joel Armia | LW/RW | 29 | 2,499,000$ | 2,499,000$ | 2,499,000$ | 2,499,000$ | UFA | ||||
Joonas Korpisalo | G | 28 | 850,000$ | 850,000$ | |||||||
Keegan Kolesar ![]() | RW | 26 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | |||||
Kevin Fiala | LW | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA |
Nick Foligno | C/LW/RW | 35 | 3,800,000$ | 3,800,000$ | UFA | ||||||
Nino Niederreiter | LW/RW | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Oskar Lindblom ![]() | LW | 26 | 3,000,000$ | 3,000,000$ | RFA | ||||||
Robert Bortuzzo | D | 34 | 1,370,000$ | 1,370,000$ | 1,370,000$ | UFA | |||||
Roman Polak ![]() | D | 36 | 750,000$ | 750,000$ | UFA | ||||||
Scott Mayfield ![]() | D | 30 | 1,450,000$ | 1,450,000$ | UFA | ||||||
Sebastian Aho | C | 25 | 8,454,000$ | 8,454,000$ | 8,454,000$ | RFA | |||||
Tanner Pearson | LW | 30 | 1,420,000$ | 1,420,000$ | 1,420,000$ | UFA | |||||
Timo Meier | LW/RW | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Tyler Bertuzzi | LW/RW | 28 | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | UFA | |||
Tyler Myers ![]() ![]() | D | 33 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Yegor Sharangovich ![]() | C/LW/RW | 24 | 2,000,000$ | 2,000,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
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Alex Galchenyuk ![]() | C/LW/RW | 29 | 0$ | 1,500,000$ | |||||||
Kevin Stenlund ![]() | C/RW | 26 | 750,000$ | 800,000$ | RFA | ||||||
Maksim Sushko ![]() | RW | 24 | 750,000$ | 750,000$ | RFA |
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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 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 18 | 6 | 8 | 0.571 | 24 | 43 | 67 | 0 | 0 | 10 | 8 | 6 | 0 | 267 | 92 | 97 | 72 | 6 | 198 | 64 | 53 | 176 | 20 | 3 | 15.00% | 14 | 3 | 78.57% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 168 | 104 | 148 | 64 | 124 | 62 | 58.3% | 9.0% | 90.9% | 99.9 | FUN | |
2 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 0 | 0.000 | 12 | 18 | 30 | 1 | 0 | 5 | 4 | 3 | 0 | 146 | 59 | 49 | 38 | 0 | 138 | 46 | 11 | 86 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 90 | 55 | 85 | 31 | 64 | 33 | 41.4% | 8.2% | 87.0% | 95.2 | Unlucky | |
3 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 8 | 0.667 | 19 | 36 | 55 | 0 | 0 | 3 | 11 | 4 | 1 | 208 | 60 | 71 | 71 | 6 | 201 | 74 | 8 | 135 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 127 | 80 | 139 | 51 | 97 | 47 | 54.5% | 9.1% | 91.5% | 100.7 | LUCKY | |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 8 | 0.667 | 19 | 36 | 55 | 0 | 0 | 3 | 11 | 4 | 1 | 208 | 60 | 71 | 71 | 6 | 201 | 74 | 8 | 135 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 127 | 80 | 139 | 51 | 97 | 47 | 54.5% | 9.1% | 91.5% | 100.7 | LUCKY | |
_Vs Conference | 17 | 8 | 9 | 0 | 0 | 0 | 0 | 0 | 55 | 53 | 2 | 16 | 0.471 | 55 | 97 | 152 | 1 | 0 | 18 | 23 | 13 | 1 | 621 | 211 | 217 | 181 | 12 | 537 | 184 | 72 | 397 | 27 | 4 | 14.81% | 21 | 6 | 71.43% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 385 | 240 | 373 | 147 | 287 | 143 | 52.0% | 8.9% | 90.1% | 99.0 | Unlucky | |
_Since Last GM Reset | 17 | 8 | 9 | 0 | 0 | 0 | 0 | 0 | 55 | 53 | 2 | 16 | 0.471 | 55 | 97 | 152 | 1 | 0 | 18 | 23 | 13 | 1 | 621 | 211 | 217 | 181 | 12 | 537 | 184 | 72 | 397 | 27 | 4 | 14.81% | 21 | 6 | 71.43% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 385 | 240 | 373 | 147 | 287 | 143 | 52.0% | 8.9% | 90.1% | 99.0 | Unlucky | |
Total | 17 | 8 | 9 | 0 | 0 | 0 | 0 | 0 | 55 | 53 | 2 | 16 | 0.471 | 55 | 97 | 152 | 1 | 0 | 18 | 23 | 13 | 1 | 621 | 211 | 217 | 181 | 12 | 537 | 184 | 72 | 397 | 27 | 4 | 14.81% | 21 | 6 | 71.43% | 0 | 231 | 454 | 50.88% | 199 | 395 | 50.38% | 126 | 271 | 46.49% | 385 | 240 | 373 | 147 | 287 | 143 | 52.0% | 8.9% | 90.1% | 99.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 454 |
Neutral Zone Start | 271 |
Defensive Zone Start | 395 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 556 |
Faceoffs Lost | 564 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.4 | 9.57 |
2nd Period | 25.2 | 20.31 |
3rd Period | 35.8 | 30.68 |
Overtime | 36.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 4 |
Lost | 5 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 27 |
---|---|
PP Goal | 4 |
PK Attempt | 21 |
PK Goal Against | 6 |
Home | |
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Shots For | 36.5 |
Shots Against | 31.6 |
Goals For | 3.2 |
Goals Against | 3.1 |
Hits | 23.4 |
Shots Blocked | 10.8 |
Pim | 4.2 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-04-08 | VS | WPG1,EDM5 | RECAP | ||
2023-04-10 | VS | WPG4,EDM3 (OT) | RECAP | ||
2023-04-12 | VS | EDM6,WPG1 | RECAP | ||
2023-04-14 | VS | EDM4,WPG3 | RECAP | ||
2023-04-16 | VS | WPG4,EDM0 | RECAP | ||
2023-04-18 | VS | EDM2,WPG3 | RECAP | ||
2023-04-20 | VS | WPG2,EDM4 | RECAP | ||
2023-04-22 | VS | SJS6,EDM3 | RECAP | ||
2023-04-24 | VS | SJS2,EDM4 | RECAP | ||
2023-04-26 | VS | EDM1,SJS2 | RECAP | ||
2023-04-28 | VS | EDM4,SJS3 | RECAP | ||
2023-04-30 | VS | SJS3,EDM4 (OT) | RECAP | ||
2023-05-02 | VS | EDM3,SJS1 | RECAP | ||
2023-05-06 | VS | DAL5,EDM3 | RECAP | ||
2023-05-08 | VS | DAL3,EDM2 | RECAP | ||
2023-05-10 | VS | EDM5,DAL6 | RECAP | ||
2023-05-12 | VS | EDM2,DAL4 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,925,000$ | 5,625,000$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Rogers Place | |
City | Edmonton | ||
Capacity | 16838 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 5000 | 2000 | 3838 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 45000 | 43857 | 18000 | 33765 | 9000 |
Attendance PCT | 100.00% | 97.46% | 100.00% | 97.75% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
32 | 16625 - 98.73% | 2,062,354$ | 18,561,188$ | 16838 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,925,000$ | 78,925,000$ | 0$ | 5,625,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 102,788,891$ | 102,788,891$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2023 | |||||
2024 | |||||
2025 | |||||
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 |
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 |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
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