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Full Scoreboard »» |
Edmonton Oilers 9-11-1, 19pts · 14th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 87 | 70 | 83 | 73 | 86 | 59 | 97 | 56 | 39 | 63 | 59 | 62 | 25 | 88 | 89 | 64 | 50 | 0 | 34 | 6,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 78 | 58 | 72 | 88 | 74 | 62 | 59 | 66 | 29 | 64 | 70 | 66 | 25 | 69 | 70 | 70 | 50 | 0 | 27 | 3,200,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 71 | 42 | 90 | 81 | 64 | 77 | 84 | 73 | 39 | 75 | 73 | 77 | 79 | 59 | 59 | 75 | 50 | 0 | 33 | 5,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 43 | 94 | 85 | 76 | 64 | 87 | 66 | 25 | 62 | 60 | 62 | 25 | 65 | 66 | 66 | 50 | 0 | 25 | 2,900,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 42 | 94 | 84 | 72 | 58 | 80 | 57 | 69 | 65 | 58 | 77 | 25 | 74 | 74 | 66 | 50 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 73 | 83 | 77 | 69 | 54 | 62 | 75 | 31 | 59 | 57 | 64 | 25 | 81 | 86 | 63 | 53 | 0 | 35 | 5,300,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 94 | 97 | 76 | 65 | 77 | 64 | 85 | 60 | 25 | 65 | 57 | 84 | 25 | 54 | 54 | 67 | 53 | 0 | 26 | 750,000$/1yrs | |||
![]() | 0 | RW | 98.00 | 75 | 44 | 86 | 81 | 77 | 68 | 92 | 68 | 59 | 68 | 68 | 75 | 72 | 83 | 83 | 72 | 50 | 0 | 34 | 6,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 63 | 77 | 77 | 63 | 66 | 67 | 64 | 80 | 61 | 62 | 61 | 59 | 45 | 45 | 64 | 50 | 0 | 19 | 894,167$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 66 | 83 | 77 | 69 | 64 | 81 | 61 | 35 | 61 | 71 | 70 | 25 | 61 | 61 | 70 | 50 | 0 | 24 | 950,000$/1yrs | |||
![]() | 0 | C | 99.00 | 73 | 43 | 96 | 76 | 70 | 70 | 99 | 60 | 92 | 69 | 59 | 90 | 75 | 70 | 71 | 70 | 50 | 0 | 27 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 94 | 58 | 79 | 75 | 84 | 65 | 84 | 78 | 30 | 64 | 71 | 62 | 53 | 69 | 71 | 71 | 50 | 0 | 26 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 84 | 80 | 72 | 74 | 91 | 74 | 25 | 67 | 50 | 67 | 25 | 75 | 78 | 65 | 50 | 0 | 32 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 81 | 78 | 79 | 68 | 76 | 65 | 77 | 61 | 25 | 50 | 48 | 78 | 25 | 58 | 58 | 61 | 50 | 0 | 29 | 775,000$/2yrs | |||
![]() | 0 | D | 99.00 | 79 | 45 | 90 | 80 | 79 | 75 | 63 | 60 | 25 | 44 | 48 | 90 | 25 | 75 | 78 | 63 | 50 | 0 | 32 | 3,275,000$/2yrs | |||
![]() | 0 | D | 99.00 | 61 | 51 | 93 | 80 | 72 | 78 | 91 | 61 | 25 | 55 | 50 | 86 | 25 | 70 | 71 | 65 | 50 | 0 | 31 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 77 | 71 | 76 | 76 | 68 | 70 | 61 | 25 | 47 | 47 | 83 | 25 | 76 | 77 | 62 | 50 | 0 | 33 | 1,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 58 | 79 | 73 | 73 | 74 | 85 | 59 | 25 | 45 | 47 | 86 | 25 | 61 | 62 | 62 | 50 | 0 | 26 | 1,900,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 99 | 99 | 67 | 70 | 82 | 54 | 78 | 58 | 37 | 61 | 60 | 67 | 75 | 57 | 57 | 65 | 53 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 89 | 99 | 34 | 72 | 74 | 48 | 63 | 56 | 26 | 60 | 55 | 60 | 61 | 85 | 88 | 59 | 53 | 0 | 34 | 900,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 66 | 83 | 66 | 66 | 57 | 58 | 56 | 50 | 56 | 51 | 61 | 48 | 44 | 44 | 57 | 53 | 0 | 23 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 58 | 77 | 68 | 84 | 64 | 75 | 60 | 25 | 51 | 48 | 72 | 25 | 52 | 52 | 60 | 53 | 0 | 22 | 795,000$/1yrs | |||
TEAM AVERAGE | 99.73 | 78 | 62 | 80 | 76 | 74 | 65 | 79 | 63 | 38 | 60 | 58 | 73 | 40 | 67 | 68 | 65 | 51 | 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 | 70 | 58 | 61 | 73 | 72 | 68 | 83 | 71 | 78 | 71 | 78 | 77 | 78 | 72 | 50 | 0 | 41 | 1,500,000$/1yrs |
![]() | 0 | 100.00 | 70 | 82 | 81 | 74 | 75 | 66 | 75 | 71 | 67 | 70 | 84 | 76 | 78 | 72 | 50 | 0 | 34 | 10,000,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 70 | 71 | 74 | 74 | 67 | 79 | 71 | 73 | 71 | 81 | 77 | 78 | 72 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 61 | 41 | 87 | 78 | 70 | 56 | 64 | 66 | 25 | 55 | 70 | 57 | 25 | 46 | 46 | 66 | 63 | 0 | 20 | 925,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 71 | 63 | 89 | 68 | 63 | 78 | 83 | 62 | 50 | 52 | 68 | 62 | 65 | 45 | 45 | 66 | 60 | 0 | 21 | 925,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 71 | 66 | 84 | 67 | 66 | 79 | 84 | 63 | 50 | 61 | 61 | 62 | 58 | 44 | 44 | 65 | 57 | 0 | 23 | 762,500$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 62 | 91 | 65 | 62 | 68 | 70 | 62 | 78 | 61 | 58 | 62 | 55 | 45 | 45 | 63 | 60 | 0 | 23 | 850,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 93 | 45 | 99 | 67 | 63 | 57 | 74 | 57 | 25 | 58 | 55 | 73 | 25 | 45 | 45 | 64 | 57 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 85 | 58 | 81 | 66 | 72 | 65 | 60 | 61 | 25 | 44 | 47 | 87 | 25 | 63 | 63 | 61 | 58 | 0 | 30 | 2,250,000$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 56 | 43 | 54 | 83 | 59 | 59 | 60 | 63 | 63 | 62 | 30 | 44 | 44 | 58 | 57 | 0 | 21 | 796,111$/2yrs | ||||||
![]() | 0 | 100.00 | 55 | 40 | 50 | 60 | 59 | 55 | 60 | 63 | 60 | 60 | 30 | 44 | 44 | 56 | 57 | 0 | 24 | 750,000$/1yrs | ||||||
![]() | 0 | 100.00 | 62 | 68 | 65 | 80 | 65 | 58 | 83 | 59 | 65 | 62 | 42 | 48 | 48 | 65 | 57 | 0 | 23 | 837,500$/2yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Jonathan Sasseville |
---|
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 | Kyle Okposo | 0 | RW | 21 | 11 | 10 | 21 | -5 | 8 | 0 | 46 | 83 | 21 | 42 | 13.25% | 20 | 24.31 | 4 | 2 | 6 | 52 | 0 | 1 | 1 | 56 | 2 | 1 | 46.58% | 161 | 22 | 8 | 0 | 0 | 0.82 | 0 | 1 | ||
2 | Gustav Nyquist | 0 | LW/RW | 21 | 8 | 12 | 20 | -3 | 6 | 0 | 31 | 96 | 24 | 68 | 8.33% | 11 | 20.90 | 3 | 7 | 10 | 53 | 0 | 0 | 0 | 57 | 1 | 1 | 31.58% | 38 | 24 | 9 | 0 | 0 | 0.91 | 1 | 1 | ||
3 | Chris Tierney | 0 | C | 21 | 6 | 9 | 15 | 2 | 5 | 5 | 24 | 42 | 11 | 24 | 14.29% | 9 | 17.40 | 2 | 3 | 5 | 39 | 0 | 0 | 0 | 8 | 1 | 0 | 49.12% | 228 | 13 | 7 | 0 | 0 | 0.82 | 0 | 0 | ||
4 | David Kampf | 0 | C | 21 | 3 | 12 | 15 | -4 | 0 | 0 | 17 | 41 | 11 | 25 | 7.32% | 14 | 19.10 | 0 | 7 | 7 | 52 | 0 | 0 | 0 | 26 | 0 | 0 | 56.31% | 531 | 5 | 9 | 0 | 0 | 0.75 | 1 | 1 | ||
5 | Nick Ritchie | 0 | LW | 21 | 7 | 8 | 15 | 3 | 46 | 10 | 41 | 75 | 27 | 45 | 9.33% | 6 | 17.73 | 1 | 2 | 3 | 39 | 0 | 0 | 0 | 21 | 0 | 1 | 37.50% | 16 | 22 | 9 | 0 | 0 | 0.81 | 0 | 1 | ||
6 | Milan Lucic | 0 | LW/RW | 21 | 2 | 10 | 12 | 2 | 25 | 15 | 28 | 24 | 4 | 15 | 8.33% | 5 | 17.79 | 0 | 0 | 0 | 40 | 0 | 1 | 1 | 16 | 0 | 1 | 54.55% | 11 | 12 | 7 | 0 | 0 | 0.64 | 0 | 0 | ||
7 | Miles Wood | 0 | LW | 21 | 7 | 5 | 12 | 4 | 18 | 0 | 27 | 64 | 17 | 40 | 10.94% | 5 | 13.74 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 1 | 0 | 11.11% | 9 | 13 | 2 | 0 | 0 | 0.83 | 0 | 0 | ||
8 | Denis Gurianov | 0 | LW/RW | 21 | 5 | 6 | 11 | 5 | 0 | 0 | 20 | 55 | 22 | 30 | 9.09% | 7 | 14.55 | 0 | 0 | 0 | 3 | 2 | 0 | 2 | 23 | 1 | 0 | 10.00% | 10 | 10 | 7 | 0 | 0 | 0.72 | 0 | 0 | ||
9 | Marco Scandella | 0 | D | 21 | 3 | 5 | 8 | -2 | 10 | 0 | 29 | 39 | 15 | 17 | 7.69% | 25 | 26.82 | 3 | 0 | 3 | 57 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 8 | 31 | 0 | 0 | 0.28 | 0 | 0 | ||
10 | William Eklund | 0 | C/LW | 21 | 4 | 3 | 7 | 3 | 12 | 0 | 21 | 35 | 6 | 14 | 11.43% | 7 | 12.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 54.01% | 137 | 4 | 1 | 0 | 0 | 0.51 | 0 | 0 | ||
11 | Trevor van Riemsdyk | 0 | D | 21 | 0 | 7 | 7 | -2 | 0 | 0 | 15 | 32 | 20 | 16 | 0.00% | 31 | 27.16 | 0 | 2 | 2 | 57 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 3 | 16 | 0 | 0 | 0.25 | 0 | 0 | ||
12 | Justin Schultz | 0 | D | 21 | 0 | 3 | 3 | 6 | 0 | 0 | 4 | 9 | 4 | 2 | 0.00% | 10 | 13.33 | 0 | 1 | 1 | 3 | 0 | 1 | 1 | 3 | 0 | 0 | 0.00% | 0 | 3 | 3 | 0 | 0 | 0.21 | 0 | 0 | ||
13 | Nick Seeler | 0 | D | 21 | 1 | 2 | 3 | 6 | 10 | 0 | 18 | 13 | 4 | 6 | 7.69% | 9 | 13.83 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 1 | 10 | 0 | 0 | 0.21 | 0 | 0 | ||
14 | Cole Smith | 0 | LW/RW | 21 | 1 | 2 | 3 | -4 | 14 | 10 | 16 | 6 | 2 | 1 | 16.67% | 3 | 6.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 4 | 3 | 2 | 0 | 0 | 0.45 | 0 | 0 | ||
15 | Niko Mikkola | 0 | D | 21 | 1 | 2 | 3 | -4 | 27 | 15 | 21 | 21 | 2 | 6 | 4.76% | 29 | 19.61 | 1 | 0 | 1 | 38 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 5 | 8 | 0 | 0 | 0.15 | 0 | 0 | ||
16 | Brendan Smith | 0 | D | 21 | 1 | 1 | 2 | -3 | 31 | 5 | 26 | 19 | 9 | 7 | 5.26% | 19 | 19.64 | 0 | 0 | 0 | 38 | 0 | 0 | 0 | 36 | 1 | 0 | 0.00% | 0 | 2 | 8 | 0 | 0 | 0.10 | 0 | 0 | ||
17 | Noah Gregor | 0 | LW/RW | 21 | 0 | 2 | 2 | -4 | 7 | 5 | 12 | 12 | 6 | 11 | 0.00% | 2 | 6.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 5 | 1 | 0 | 0 | 0.30 | 0 | 0 | ||
18 | Patric Hornqvist | 0 | RW | 21 | 0 | 0 | 0 | -3 | 0 | 0 | 7 | 1 | 2 | 3 | 0.00% | 0 | 3.79 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 378 | 60 | 99 | 159 | -3 | 219 | 65 | 403 | 667 | 207 | 372 | 9.00% | 212 | 16.41 | 14 | 24 | 38 | 491 | 2 | 3 | 5 | 431 | 9 | 5 | 51.30% | 1156 | 155 | 139 | 0 | 0 | 0.51 | 2 | 4 |
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 | Sergei Bobrovsky | 21 | 9 | 10 | 1 | 0.897 | 3.28 | 1098 | 4 | 0 | 60 | 583 | 315 | 0 | 1 | 0.250 | 4 | 21 | 0 | 3 | 1 | 2 | |
2 | Craig Anderson | 6 | 0 | 1 | 0 | 0.912 | 2.56 | 164 | 0 | 0 | 7 | 80 | 43 | 0 | 0 | 0.000 | 0 | 0 | 21 | 0 | 0 | 0 | |
Team Total or Average | 27 | 9 | 11 | 1 | 0.899 | 3.18 | 1263 | 4 | 0 | 67 | 663 | 358 | 0 | 1 | 0.250 | 4 | 21 | 21 | 3 | 1 | 2 |
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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 8 | 20 | 6 | 0 | 30 | 14 | 9 | 31 | 4 | 1 | 25.00% | 2 | 2 | 0.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 21 | 11 | 19 | 8 | 18 | 9 | 0.0% | 2.9% | 76.7% | 79.6 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 26 | 3 | 17 | 6 | 0 | 36 | 10 | 6 | 13 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 18 | 9 | 25 | 8 | 16 | 8 | 100.0% | 11.5% | 97.2% | 108.8 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 28 | 6 | 16 | 6 | 0 | 24 | 6 | 4 | 15 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 18 | 9 | 21 | 9 | 19 | 10 | 66.7% | 10.7% | 95.8% | 106.5 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 46 | 12 | 26 | 8 | 0 | 28 | 7 | 6 | 23 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 22 | 13 | 20 | 8 | 16 | 8 | 33.3% | 8.7% | 82.1% | 90.8 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 25 | 10 | 4 | 11 | 0 | 22 | 8 | 4 | 34 | 6 | 1 | 16.67% | 2 | 2 | 0.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 21 | 10 | 18 | 8 | 20 | 11 | 33.3% | 8.0% | 81.8% | 89.8 | Unlucky | |
6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 0.000 | 7 | 13 | 20 | 1 | 0 | 1 | 3 | 3 | 0 | 105 | 41 | 36 | 28 | 0 | 99 | 31 | 29 | 56 | 12 | 3 | 25.00% | 12 | 6 | 50.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 64 | 37 | 62 | 27 | 52 | 27 | 36.4% | 6.7% | 86.9% | 93.5 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 41 | 15 | 15 | 11 | 0 | 37 | 5 | 14 | 15 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 21 | 11 | 21 | 8 | 17 | 9 | 80.0% | 12.2% | 97.3% | 109.5 | LUCKY | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 4 | 3 | 0 | 0 | 59 | 14 | 29 | 16 | 0 | 72 | 22 | 41 | 37 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 1 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 35 | 17 | 47 | 19 | 37 | 17 | 87.5% | 11.9% | 95.8% | 107.7 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 31 | 12 | 9 | 10 | 0 | 28 | 10 | 16 | 18 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 20 | 11 | 21 | 9 | 17 | 8 | 75.0% | 9.7% | 96.4% | 106.1 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 24 | 10 | 7 | 7 | 0 | 31 | 9 | 6 | 13 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 17 | 9 | 23 | 10 | 18 | 7 | 60.0% | 16.7% | 93.5% | 110.2 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 4 | 12 | 17 | 0 | 32 | 15 | 9 | 14 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 17 | 9 | 23 | 10 | 18 | 8 | 40.0% | 6.1% | 87.5% | 93.6 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 6 | 11 | 14 | 0 | 30 | 19 | 8 | 23 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 20 | 9 | 20 | 9 | 18 | 9 | 25.0% | 3.2% | 86.7% | 89.9 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 34 | 9 | 5 | 20 | 0 | 33 | 12 | 22 | 19 | 1 | 1 | 100.00% | 6 | 1 | 83.33% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 18 | 10 | 24 | 9 | 17 | 7 | 20.0% | 5.9% | 84.8% | 90.7 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 31 | 15 | 7 | 9 | 0 | 31 | 7 | 10 | 14 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 20 | 10 | 20 | 10 | 19 | 8 | 75.0% | 9.7% | 93.5% | 103.2 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 34 | 10 | 12 | 12 | 0 | 30 | 6 | 4 | 17 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 20 | 11 | 20 | 9 | 18 | 9 | 37.5% | 11.8% | 83.3% | 95.1 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 10 | 5 | 14 | 0 | 37 | 8 | 15 | 25 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 18 | 9 | 24 | 9 | 17 | 8 | 33.3% | 6.9% | 83.8% | 90.7 | Unlucky | |
17 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 0 | 4 | 3 | 2 | 56 | 18 | 22 | 16 | 4 | 64 | 23 | 20 | 36 | 3 | 1 | 33.33% | 9 | 2 | 77.78% | 1 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 40 | 20 | 44 | 20 | 40 | 19 | 66.7% | 12.5% | 92.2% | 104.7 | LUCKY | |
_Vs Division | 9 | 2 | 6 | 0 | 0 | 0 | 0 | 1 | 25 | 38 | -13 | 5 | 0.278 | 25 | 42 | 67 | 1 | 0 | 3 | 13 | 9 | 2 | 282 | 97 | 102 | 83 | 4 | 291 | 91 | 83 | 178 | 26 | 7 | 26.92% | 33 | 12 | 63.64% | 1 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 183 | 99 | 194 | 86 | 166 | 81 | 40.9% | 8.9% | 86.9% | 95.8 | Unlucky | |
_Vs Conference | 14 | 6 | 7 | 0 | 0 | 0 | 0 | 1 | 42 | 48 | -6 | 13 | 0.464 | 42 | 70 | 112 | 1 | 0 | 11 | 18 | 13 | 2 | 447 | 147 | 160 | 140 | 4 | 461 | 140 | 176 | 267 | 33 | 9 | 27.27% | 52 | 15 | 71.15% | 2 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 279 | 151 | 310 | 134 | 255 | 124 | 50.0% | 9.4% | 89.6% | 99.0 | FUN | |
_Since Last GM Reset | 21 | 9 | 11 | 0 | 0 | 0 | 0 | 1 | 60 | 69 | -9 | 19 | 0.452 | 60 | 99 | 159 | 1 | 0 | 13 | 28 | 19 | 2 | 667 | 203 | 253 | 211 | 4 | 664 | 212 | 223 | 403 | 61 | 14 | 22.95% | 73 | 22 | 69.86% | 2 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 418 | 225 | 460 | 199 | 385 | 189 | 49.5% | 9.0% | 89.6% | 98.6 | FUN | |
Total | 21 | 9 | 11 | 0 | 0 | 0 | 0 | 1 | 60 | 69 | -9 | 19 | 0.452 | 60 | 99 | 159 | 1 | 0 | 13 | 28 | 19 | 2 | 667 | 203 | 253 | 211 | 4 | 664 | 212 | 223 | 403 | 61 | 14 | 22.95% | 73 | 22 | 69.86% | 2 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 418 | 225 | 460 | 199 | 385 | 189 | 49.5% | 9.0% | 89.6% | 98.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 437 |
Neutral Zone Start | 279 |
Defensive Zone Start | 436 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 593 |
Faceoffs Lost | 559 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.7 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 31.8 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 43 |
---|---|
PP Goal | 14 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 5 | 6 |
Overtime Lost | 1 | 0 |
PP Attempt | 61 |
---|---|
PP Goal | 14 |
PK Attempt | 73 |
PK Goal Against | 22 |
Home | |
---|---|
Shots For | 31.8 |
Shots Against | 31.6 |
Goals For | 2.9 |
Goals Against | 3.3 |
Hits | 19.2 |
Shots Blocked | 10.1 |
Pim | 10.6 |
Projected Total Cap Hit | 61,951,667$ |
Projected Cap Space | 20,548,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 16,189,761$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Oilers Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brendan Smith ![]() | D | 33 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Chris Tierney ![]() | C | 28 | 750,000$ | 750,000$ | |||||||
Cole Smith ![]() | LW/RW | 26 | 750,000$ | 750,000$ | |||||||
Craig Anderson ![]() | G | 41 | 1,500,000$ | 1,500,000$ | |||||||
David Kampf ![]() | C | 27 | 1,500,000$ | 1,500,000$ | |||||||
Denis Gurianov ![]() | LW/RW | 25 | 2,900,000$ | 2,900,000$ | |||||||
Gustav Nyquist ![]() | LW/RW | 33 | 5,500,000$ | 5,500,000$ | |||||||
Justin Schultz ![]() | D | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Kevin Bahl ![]() | D | 22 | 795,000$ | 795,000$ | |||||||
Kyle Okposo ![]() | RW | 34 | 6,000,000$ | 6,000,000$ | |||||||
Marco Scandella ![]() | D | 32 | 3,275,000$ | 3,275,000$ | 3,275,000$ | ||||||
Michael Pezzetta ![]() | LW/RW | 24 | 750,000$ | 750,000$ | |||||||
Milan Lucic ![]() | LW/RW | 34 | 6,000,000$ | 6,000,000$ | |||||||
Miles Wood ![]() | LW | 27 | 3,200,000$ | 3,200,000$ | |||||||
Nick Ritchie ![]() | LW | 26 | 2,500,000$ | 2,500,000$ | |||||||
Nick Seeler ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | ||||||
Niko Mikkola ![]() | D | 26 | 1,900,000$ | 1,900,000$ | |||||||
Noah Gregor ![]() | LW/RW | 24 | 950,000$ | 950,000$ | |||||||
Patric Hornqvist ![]() | RW | 35 | 5,300,000$ | 5,300,000$ | |||||||
Sergei Bobrovsky ![]() | G | 34 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | ||||
Trevor van Riemsdyk ![]() | D | 31 | 950,000$ | 950,000$ | |||||||
Tyce Thompson ![]() | RW | 23 | 762,500$ | 762,500$ | 762,500$ | ||||||
Wayne Simmonds ![]() | LW/RW | 34 | 900,000$ | 900,000$ | |||||||
William Eklund ![]() | C/LW | 19 | 894,167$ | 894,167$ |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 8 | 20 | 6 | 0 | 30 | 14 | 9 | 31 | 4 | 1 | 25.00% | 2 | 2 | 0.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 21 | 11 | 19 | 8 | 18 | 9 | 0.0% | 2.9% | 76.7% | 79.6 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 26 | 3 | 17 | 6 | 0 | 36 | 10 | 6 | 13 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 18 | 9 | 25 | 8 | 16 | 8 | 100.0% | 11.5% | 97.2% | 108.8 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 28 | 6 | 16 | 6 | 0 | 24 | 6 | 4 | 15 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 18 | 9 | 21 | 9 | 19 | 10 | 66.7% | 10.7% | 95.8% | 106.5 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 46 | 12 | 26 | 8 | 0 | 28 | 7 | 6 | 23 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 22 | 13 | 20 | 8 | 16 | 8 | 33.3% | 8.7% | 82.1% | 90.8 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 25 | 10 | 4 | 11 | 0 | 22 | 8 | 4 | 34 | 6 | 1 | 16.67% | 2 | 2 | 0.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 21 | 10 | 18 | 8 | 20 | 11 | 33.3% | 8.0% | 81.8% | 89.8 | Unlucky | |
6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 0.000 | 7 | 13 | 20 | 1 | 0 | 1 | 3 | 3 | 0 | 105 | 41 | 36 | 28 | 0 | 99 | 31 | 29 | 56 | 12 | 3 | 25.00% | 12 | 6 | 50.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 64 | 37 | 62 | 27 | 52 | 27 | 36.4% | 6.7% | 86.9% | 93.5 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 41 | 15 | 15 | 11 | 0 | 37 | 5 | 14 | 15 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 21 | 11 | 21 | 8 | 17 | 9 | 80.0% | 12.2% | 97.3% | 109.5 | LUCKY | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 4 | 3 | 0 | 0 | 59 | 14 | 29 | 16 | 0 | 72 | 22 | 41 | 37 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 1 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 35 | 17 | 47 | 19 | 37 | 17 | 87.5% | 11.9% | 95.8% | 107.7 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 31 | 12 | 9 | 10 | 0 | 28 | 10 | 16 | 18 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 20 | 11 | 21 | 9 | 17 | 8 | 75.0% | 9.7% | 96.4% | 106.1 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 24 | 10 | 7 | 7 | 0 | 31 | 9 | 6 | 13 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 17 | 9 | 23 | 10 | 18 | 7 | 60.0% | 16.7% | 93.5% | 110.2 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 4 | 12 | 17 | 0 | 32 | 15 | 9 | 14 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 17 | 9 | 23 | 10 | 18 | 8 | 40.0% | 6.1% | 87.5% | 93.6 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 6 | 11 | 14 | 0 | 30 | 19 | 8 | 23 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 20 | 9 | 20 | 9 | 18 | 9 | 25.0% | 3.2% | 86.7% | 89.9 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 34 | 9 | 5 | 20 | 0 | 33 | 12 | 22 | 19 | 1 | 1 | 100.00% | 6 | 1 | 83.33% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 18 | 10 | 24 | 9 | 17 | 7 | 20.0% | 5.9% | 84.8% | 90.7 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 31 | 15 | 7 | 9 | 0 | 31 | 7 | 10 | 14 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 20 | 10 | 20 | 10 | 19 | 8 | 75.0% | 9.7% | 93.5% | 103.2 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 34 | 10 | 12 | 12 | 0 | 30 | 6 | 4 | 17 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 20 | 11 | 20 | 9 | 18 | 9 | 37.5% | 11.8% | 83.3% | 95.1 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 10 | 5 | 14 | 0 | 37 | 8 | 15 | 25 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 18 | 9 | 24 | 9 | 17 | 8 | 33.3% | 6.9% | 83.8% | 90.7 | Unlucky | |
17 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 0 | 4 | 3 | 2 | 56 | 18 | 22 | 16 | 4 | 64 | 23 | 20 | 36 | 3 | 1 | 33.33% | 9 | 2 | 77.78% | 1 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 40 | 20 | 44 | 20 | 40 | 19 | 66.7% | 12.5% | 92.2% | 104.7 | LUCKY | |
_Vs Division | 9 | 2 | 6 | 0 | 0 | 0 | 0 | 1 | 25 | 38 | -13 | 5 | 0.278 | 25 | 42 | 67 | 1 | 0 | 3 | 13 | 9 | 2 | 282 | 97 | 102 | 83 | 4 | 291 | 91 | 83 | 178 | 26 | 7 | 26.92% | 33 | 12 | 63.64% | 1 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 183 | 99 | 194 | 86 | 166 | 81 | 40.9% | 8.9% | 86.9% | 95.8 | Unlucky | |
_Vs Conference | 14 | 6 | 7 | 0 | 0 | 0 | 0 | 1 | 42 | 48 | -6 | 13 | 0.464 | 42 | 70 | 112 | 1 | 0 | 11 | 18 | 13 | 2 | 447 | 147 | 160 | 140 | 4 | 461 | 140 | 176 | 267 | 33 | 9 | 27.27% | 52 | 15 | 71.15% | 2 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 279 | 151 | 310 | 134 | 255 | 124 | 50.0% | 9.4% | 89.6% | 99.0 | FUN | |
_Since Last GM Reset | 21 | 9 | 11 | 0 | 0 | 0 | 0 | 1 | 60 | 69 | -9 | 19 | 0.452 | 60 | 99 | 159 | 1 | 0 | 13 | 28 | 19 | 2 | 667 | 203 | 253 | 211 | 4 | 664 | 212 | 223 | 403 | 61 | 14 | 22.95% | 73 | 22 | 69.86% | 2 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 418 | 225 | 460 | 199 | 385 | 189 | 49.5% | 9.0% | 89.6% | 98.6 | FUN | |
Total | 21 | 9 | 11 | 0 | 0 | 0 | 0 | 1 | 60 | 69 | -9 | 19 | 0.452 | 60 | 99 | 159 | 1 | 0 | 13 | 28 | 19 | 2 | 667 | 203 | 253 | 211 | 4 | 664 | 212 | 223 | 403 | 61 | 14 | 22.95% | 73 | 22 | 69.86% | 2 | 224 | 437 | 51.26% | 206 | 436 | 47.25% | 163 | 279 | 58.42% | 418 | 225 | 460 | 199 | 385 | 189 | 49.5% | 9.0% | 89.6% | 98.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 437 |
Neutral Zone Start | 279 |
Defensive Zone Start | 436 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 593 |
Faceoffs Lost | 559 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.7 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 31.8 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 43 |
---|---|
PP Goal | 14 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 5 | 6 |
Overtime Lost | 1 | 0 |
PP Attempt | 61 |
---|---|
PP Goal | 14 |
PK Attempt | 73 |
PK Goal Against | 22 |
Home | |
---|---|
Shots For | 31.8 |
Shots Against | 31.6 |
Goals For | 2.9 |
Goals Against | 3.3 |
Hits | 19.2 |
Shots Blocked | 10.1 |
Pim | 10.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-07 | @ | Oilers2,Canucks5 | RECAP | ||
2023-10-10 | @ | Canucks5,Oilers4 | RECAP | ||
2023-10-13 | @ | Oilers2,Predators1 | RECAP | ||
2023-10-15 | @ | Oilers3,Flyers1 | RECAP | ||
2023-10-17 | @ | Jets1,Oilers3 | RECAP | ||
2023-10-20 | @ | Oilers2,Wild5 | RECAP | ||
2023-10-22 | @ | Rangers4,Oilers2 | RECAP | ||
2023-10-25 | @ | Flames5,Oilers4 | RECAP | ||
2023-10-29 | @ | Stars1,Oilers5 | RECAP | ||
2023-10-31 | @ | Predators2,Oilers5 | RECAP | ||
2023-11-02 | @ | Oilers1,Canucks3 | RECAP | ||
2023-11-05 | @ | Oilers4,Sharks2 | RECAP | ||
2023-11-07 | @ | Oilers5,Kraken2 | RECAP | ||
2023-11-09 | @ | Islanders1,Oilers3 | RECAP | ||
2023-11-11 | @ | Kraken3,Oilers2 (SO) | RECAP | ||
2023-11-14 | @ | Oilers4,Lightning5 | RECAP | ||
2023-11-16 | @ | Oilers1,Panthers4 | RECAP | ||
2023-11-18 | @ | Oilers3,Hurricanes2 | RECAP | ||
2023-11-20 | @ | Oilers2,Capitals4 | RECAP | ||
2023-11-22 | @ | Ducks7,Oilers1 | RECAP | ||
2023-11-24 | @ | Golden Knights6,Oilers2 | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
61,951,667$ | 0$ | 61,951,667$ | 20,548,333$ |
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 | 55629 | 47431 | 19320 | 37141 | 9458 |
Attendance PCT | 92.72% | 94.86% | 96.60% | 92.85% | 94.58% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
31 | 16898 - 93.88% | 607,159$ | 6,071,593$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
61,951,667$ | 61,951,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
16,189,761$ | 61,951,667$ | 16,189,761$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,821,938$ | 142 | 322,665$ | 45,818,430$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
51,235,855$ | 61,951,667$ | -439,694,441$ | -472,108,358$ |
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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2024 | |||||||
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2026 | |||||||
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2028 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
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 |
---|---|---|---|---|---|
1 ballo edm 2023 | |||||
Aidan Hreschuk | 2021 | 104 | |||
Alexander Khovanov | |||||
Andreas Martinssen | |||||
Andrew Shaw | Link | ||||
Artemi Kniazev | Link | ||||
Austin Osmanski | 2016 | 206 | |||
Ben Macdonald | 2022 | 110 | |||
Chandler Romeo | 2021 | 207 | |||
Cooper Maroudy | |||||
David Backes | Link | ||||
Dillon Simpson | |||||
Dmitrij Jaskin | Link | ||||
Dustin Byfuglien | Link | ||||
Evan Fitzpatrick | 2016 | 56 | |||
Fraser Minten | 2022 | 47 | |||
Garrett Pilon | Link | ||||
Guillaume Richard | 2021 | 107 | |||
Hunter Jones | 2019 | 44 | |||
Jack Matier | 2021 | 132 | |||
Jackson Edward | 2022 | 206 | |||
Jacob Fowler | 2023 | 32 | |||
Jake Schmaltz | 2019 | 199 | |||
Jani Nyman | 2022 | 46 | |||
Jasper Weatherby | Link | ||||
Jesper Sellgren | 2018 | 178 | |||
Jesper Wallstedt | 2021 | 9 | |||
Joakim Kemell | 2022 | 14 | |||
Joe Thornton | Link | ||||
Jonathan Lekkerimaki | 2022 | 11 | |||
Kienan Draper | 2020 | 188 | |||
Kyle Wood | |||||
Lian Bichsel | 2022 | 21 | |||
Logan Cockerill | |||||
Loui Eriksson | Link | ||||
Luke Loheit | 2018 | 209 | |||
Malte Setkov | |||||
Marcus Davidsson | |||||
Markus Nutivaara | Link | ||||
Martin Marincin | |||||
Masksymilian Szuber | 2022 | 174 | |||
Matteo Gennaro | |||||
Matteo Mann | 2023 | 209 | |||
Mattias Norlinder | 2019 | 60 | Link | ||
Michael Frolik | Link | ||||
Michael Houser | Link | ||||
Mike Robinson | |||||
Nathan Gerbe | Link | ||||
Nathan Legare | 2019 | 47 | |||
Nelson Nogier | |||||
Nikita Novikov | 2021 | 196 | |||
Nikolas Koberstein | |||||
Nolan Allan | 2021 | 36 | |||
Patrick Eaves | Link | ||||
Patrick Harper | 2016 | 146 | |||
Patrick Marleau | Link | ||||
Peter Budaj | Link | ||||
Peter Holland | Link | ||||
Prokhor Poltapov | 2021 | 44 | |||
Robin Lehner | Link | ||||
Ryan Getzlaf | Link | ||||
Ryan Suzuki | 2019 | 18 | |||
Sami Vatanen | Link | ||||
Samuel Dove-McFalls | |||||
Samuel Honzek | 2023 | 17 | |||
Taige Harding | 2021 | 100 | |||
Ty Murchison | 2021 | 164 | |||
Tyler Gaudet | |||||
Yegor Zavragin | 2023 | 49 |
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