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Full Scoreboard ยป |
Edmonton Oilers 18-17-1, 37pts · 8th in Western Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 74 | 35 | 72 | 83 | 72 | 88 | 95 | 98 | 73 | 92 | 89 | 66 | 78 | 51 | 51 | 84 | 61 | 78 | 23 | 5,600,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 30 | 68 | 85 | 64 | 86 | 95 | 97 | 68 | 91 | 87 | 63 | 77 | 56 | 56 | 76 | 61 | 77 | 24 | 7,000,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 66 | 28 | 76 | 83 | 65 | 83 | 95 | 96 | 70 | 90 | 89 | 63 | 81 | 51 | 51 | 84 | 61 | 76 | 22 | 3,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 2 | 98 | 87 | 77 | 68 | 84 | 84 | 28 | 86 | 90 | 64 | 41 | 85 | 88 | 62 | 51 | 76 | 28 | 7,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 16 | 89 | 91 | 82 | 91 | 86 | 83 | 39 | 75 | 85 | 52 | 63 | 71 | 75 | 80 | 61 | 74 | 32 | 4,700,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 49 | 28 | 99 | 85 | 74 | 73 | 81 | 82 | 82 | 78 | 79 | 67 | 75 | 68 | 68 | 64 | 61 | 73 | 24 | 2,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 44 | 79 | 77 | 87 | 85 | 95 | 83 | 78 | 74 | 78 | 59 | 76 | 55 | 55 | 80 | 61 | 72 | 22 | 3,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 32 | 99 | 80 | 67 | 74 | 85 | 70 | 45 | 75 | 78 | 76 | 75 | 72 | 74 | 45 | 61 | 72 | 32 | 3,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 38 | 22 | 99 | 83 | 75 | 62 | 72 | 89 | 69 | 81 | 81 | 61 | 79 | 54 | 54 | 78 | 61 | 71 | 24 | 4,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 34 | 16 | 99 | 80 | 73 | 76 | 95 | 84 | 72 | 83 | 72 | 63 | 64 | 52 | 52 | 81 | 61 | 71 | 22 | 750,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 74 | 28 | 68 | 79 | 74 | 78 | 92 | 82 | 69 | 75 | 74 | 62 | 75 | 50 | 50 | 85 | 61 | 70 | 21 | 2,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 16 | 85 | 85 | 72 | 90 | 96 | 67 | 51 | 64 | 79 | 65 | 45 | 61 | 62 | 80 | 61 | 70 | 31 | 2,250,000$/3yrs | |||
![]() | 0 | D | 99.00 | 78 | 13 | 86 | 92 | 82 | 96 | 94 | 88 | 21 | 83 | 62 | 97 | 25 | 82 | 83 | 58 | 61 | 83 | 28 | 11,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 90 | 20 | 85 | 86 | 83 | 88 | 85 | 88 | 25 | 70 | 48 | 91 | 25 | 60 | 60 | 83 | 61 | 78 | 22 | 863,333$/5yrs | |||
![]() | 0 | D | 99.00 | 60 | 5 | 99 | 92 | 86 | 92 | 94 | 73 | 47 | 70 | 61 | 82 | 25 | 68 | 69 | 55 | 61 | 76 | 25 | 7,250,000$/4yrs | |||
![]() | 0 | D | 100.00 | 40 | 1 | 99 | 85 | 78 | 91 | 86 | 55 | 25 | 62 | 47 | 98 | 80 | 81 | 81 | 52 | 61 | 74 | 28 | 6,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 36 | 1 | 99 | 88 | 73 | 99 | 87 | 70 | 25 | 69 | 48 | 81 | 25 | 79 | 80 | 50 | 61 | 72 | 28 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 38 | 72 | 78 | 75 | 67 | 76 | 71 | 22 | 77 | 52 | 83 | 50 | 60 | 60 | 74 | 51 | 70 | 25 | 2,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 50 | 2 | 99 | 83 | 72 | 96 | 66 | 59 | 25 | 54 | 48 | 88 | 25 | 71 | 72 | 66 | 29 | 70 | 33 | 700,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.89 | 62 | 20 | 88 | 84 | 75 | 83 | 87 | 80 | 49 | 76 | 71 | 73 | 57 | 65 | 65 | 70 | 58 | 74 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 80 | 66 | 60 | 78 | 73 | 95 | 99 | 99 | 99 | 77 | 78 | 60 | 60 | 81 | 70 | 80 | 22 | 5,900,000$/4yrs |
![]() | 0 | 99.00 | 82 | 49 | 70 | 66 | 78 | 88 | 98 | 99 | 98 | 86 | 86 | 48 | 48 | 72 | 70 | 77 | 21 | 3,000,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 82 | 85 | 81 | 81 | 80 | 80 | 80 | 84 | 82 | 81 | 85 | 57 | 57 | 71 | 32 | 76 | 31 | 850,000$/1yrs |
TEAM AVERAGE | 99.67 | 81 | 67 | 70 | 75 | 77 | 88 | 92 | 94 | 93 | 81 | 83 | 55 | 55 | 75 | 57 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jay Woodcroft | 50 | 75 | 65 | 76 | 55 | 43 | 49 | CAN | 45 | 7 | 1,500,000$ |
General Manager | Brent Goerz |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Trey Fix-Wolansky | 0 | LW/RW | 36 | 12 | 21 | 33 | -2 | 36 | 0 | 56 | 131 | 42 | 84 | 9.16% | 18 | 17.49 | 4 | 10 | 14 | 74 | 0 | 0 | 0 | 6 | 4 | 1 | 30.77% | 39 | 35 | 10 | 0 | 0 | 1.05 | 0 | 0 | |
2 | Marco Rossi | 0 | C/RW | 36 | 15 | 16 | 31 | -5 | 14 | 0 | 64 | 133 | 41 | 77 | 11.28% | 11 | 17.08 | 4 | 2 | 6 | 70 | 0 | 0 | 0 | 0 | 3 | 2 | 46.97% | 743 | 23 | 13 | 0 | 0 | 1.01 | 1 | 3 | |
3 | Akil Thomas | 0 | C/RW | 36 | 14 | 15 | 29 | -5 | 28 | 0 | 63 | 105 | 38 | 70 | 13.33% | 12 | 17.04 | 6 | 7 | 13 | 73 | 0 | 0 | 0 | 0 | 4 | 1 | 51.65% | 577 | 22 | 10 | 0 | 0 | 0.95 | 1 | 1 | |
4 | Andre Burakovsky | 0 | LW/RW | 36 | 8 | 18 | 26 | -4 | 0 | 0 | 34 | 116 | 29 | 57 | 6.90% | 13 | 16.96 | 1 | 3 | 4 | 61 | 0 | 0 | 0 | 10 | 1 | 0 | 31.03% | 58 | 25 | 11 | 0 | 0 | 0.85 | 0 | 3 | |
5 | Ryan Suzuki | 0 | C | 36 | 7 | 9 | 16 | 0 | 6 | 0 | 23 | 79 | 27 | 57 | 8.86% | 6 | 15.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 0 | 49.79% | 466 | 20 | 6 | 0 | 0 | 0.56 | 0 | 0 | |
6 | Casey Mittelstadt | 0 | C/LW | 36 | 7 | 9 | 16 | 0 | 0 | 0 | 36 | 107 | 29 | 61 | 6.54% | 19 | 16.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0 | 1 | 43.59% | 117 | 25 | 8 | 0 | 0 | 0.55 | 0 | 0 | |
7 | Mikhail Sergachev | 0 | D | 36 | 2 | 12 | 14 | -8 | 0 | 0 | 45 | 39 | 23 | 16 | 5.13% | 57 | 24.90 | 1 | 5 | 6 | 70 | 0 | 0 | 0 | 103 | 0 | 0 | 0.00% | 0 | 14 | 30 | 0 | 0 | 0.31 | 0 | 0 | |
8 | Seth Jones | 0 | D | 36 | 3 | 11 | 14 | -1 | 26 | 0 | 44 | 77 | 21 | 30 | 3.90% | 55 | 25.17 | 1 | 3 | 4 | 73 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 15 | 21 | 0 | 0 | 0.31 | 0 | 0 | |
9 | Alexis Lafreniere | 0 | LW/RW | 36 | 7 | 5 | 12 | -3 | 40 | 0 | 65 | 50 | 11 | 25 | 14.00% | 14 | 16.97 | 4 | 1 | 5 | 73 | 0 | 0 | 0 | 0 | 1 | 0 | 45.00% | 40 | 9 | 9 | 0 | 0 | 0.39 | 0 | 0 | |
10 | Jaret Anderson-Dolan | 0 | C/LW/RW | 36 | 7 | 4 | 11 | -4 | 0 | 0 | 3 | 59 | 21 | 31 | 11.86% | 4 | 9.13 | 1 | 2 | 3 | 69 | 0 | 0 | 0 | 0 | 2 | 1 | 38.95% | 95 | 9 | 6 | 0 | 0 | 0.67 | 0 | 0 | |
11 | Moritz Seider | 0 | D | 36 | 1 | 8 | 9 | -5 | 30 | 0 | 60 | 35 | 20 | 20 | 2.86% | 60 | 22.14 | 0 | 3 | 3 | 70 | 0 | 0 | 0 | 86 | 1 | 0 | 0.00% | 0 | 3 | 25 | 0 | 0 | 0.23 | 0 | 0 | |
12 | Chris Kreider | 0 | LW/RW | 36 | 2 | 6 | 8 | -4 | 4 | 0 | 24 | 65 | 21 | 47 | 3.08% | 5 | 9.70 | 1 | 1 | 2 | 74 | 0 | 0 | 0 | 0 | 0 | 2 | 33.33% | 3 | 26 | 2 | 0 | 0 | 0.46 | 0 | 1 | |
13 | Calle Jarnkrok | 0 | C/LW/RW | 36 | 5 | 3 | 8 | 2 | 0 | 0 | 49 | 41 | 13 | 24 | 12.20% | 12 | 16.40 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 98 | 0 | 1 | 37.01% | 127 | 6 | 10 | 0 | 0 | 0.27 | 2 | 3 | |
14 | Connor Timmins | 0 | D | 36 | 1 | 5 | 6 | -3 | 34 | 0 | 49 | 21 | 9 | 9 | 4.76% | 34 | 17.55 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 0 | 1 | 0.00% | 0 | 1 | 20 | 0 | 0 | 0.19 | 0 | 0 | |
15 | Serron Noel | 0 | RW | 36 | 2 | 4 | 6 | -1 | 10 | 0 | 50 | 19 | 3 | 9 | 10.53% | 8 | 14.83 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 51.72% | 29 | 0 | 5 | 0 | 0 | 0.22 | 0 | 0 | |
16 | Josh Morrissey | 0 | D | 36 | 1 | 2 | 3 | 0 | 0 | 0 | 6 | 13 | 8 | 8 | 7.69% | 33 | 15.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0 | 0 | 0.00% | 0 | 2 | 26 | 0 | 0 | 0.11 | 0 | 0 | |
17 | Brett Pesce | 0 | D | 36 | 0 | 3 | 3 | -2 | 4 | 0 | 10 | 16 | 8 | 9 | 0.00% | 27 | 12.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 4 | 7 | 0 | 0 | 0.13 | 0 | 0 | |
18 | Blake Coleman | 0 | C/LW/RW | 36 | 0 | 1 | 1 | -4 | 8 | 0 | 37 | 24 | 9 | 20 | 0.00% | 13 | 9.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0 | 0 | 50.00% | 14 | 4 | 8 | 0 | 0 | 0.06 | 0 | 0 | |
19 | Chris Tanev | 0 | D | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0.27 | 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 | 658 | 94 | 152 | 246 | -49 | 240 | 0 | 718 | 1130 | 373 | 655 | 8.32% | 401 | 16.19 | 23 | 37 | 60 | 722 | 0 | 0 | 0 | 794 | 16 | 10 | 47.01% | 2308 | 243 | 227 | 0 | 0 | 0.46 | 4 | 11 |
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 | Adam Werner | Oilers | 33 | 16 | 16 | 1 | 0.915 | 2.83 | 1929 | 2 | 0 | 91 | 1073 | 460 | 3 | 3 | 0.778 | 9 | 33 | 3 | 5 | 4 | 4 |
2 | Yaroslav Askarov | Oilers | 5 | 2 | 1 | 0 | 0.927 | 2.24 | 241 | 0 | 0 | 9 | 123 | 64 | 1 | 0 | 0.000 | 0 | 3 | 33 | 0 | 0 | 2 |
Team Total or Average | 38 | 18 | 17 | 1 | 0.916 | 2.76 | 2171 | 2 | 0 | 100 | 1196 | 524 | 4 | 3 | 0.778 | 9 | 36 | 36 | 5 | 4 | 6 |
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 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 11 | 9 | 2 | 5 | 0.833 | 11 | 17 | 28 | 0 | 0 | 1 | 5 | 4 | 2 | 108 | 25 | 38 | 41 | 11 | 111 | 43 | 14 | 52 | 3 | 1 | 33.33% | 7 | 0 | 100.00% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 70 | 44 | 70 | 26 | 49 | 24 | 52.6% | 10.2% | 91.9% | 102.1 | LUCKY | |
2 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 6 | 1.000 | 8 | 10 | 18 | 0 | 0 | 1 | 3 | 3 | 1 | 101 | 33 | 29 | 38 | 1 | 110 | 16 | 16 | 55 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 58 | 34 | 72 | 27 | 49 | 23 | 63.6% | 7.9% | 95.5% | 103.4 | DULL | |
3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 1 | 4 | 2 | 0 | 95 | 25 | 31 | 39 | 0 | 82 | 27 | 26 | 48 | 8 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 62 | 34 | 65 | 27 | 52 | 25 | 53.8% | 7.4% | 89.0% | 96.4 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 63 | 23 | 13 | 27 | 0 | 68 | 24 | 10 | 41 | 10 | 4 | 40.00% | 5 | 1 | 80.00% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 48 | 28 | 37 | 15 | 34 | 18 | 0.0% | 6.3% | 94.1% | 100.5 | DULL | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 3 | 4 | 1 | 0 | 62 | 18 | 32 | 12 | 0 | 69 | 23 | 18 | 41 | 3 | 2 | 66.67% | 9 | 4 | 55.56% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 43 | 26 | 41 | 17 | 34 | 16 | 66.7% | 12.9% | 89.9% | 102.8 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 32 | 12 | 9 | 11 | 0 | 27 | 10 | 12 | 25 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 22 | 12 | 20 | 8 | 16 | 8 | 33.3% | 6.3% | 85.2% | 91.4 | Unlucky | |
7 | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 12 | 15 | -3 | 4 | 0.400 | 12 | 20 | 32 | 0 | 0 | 5 | 5 | 1 | 1 | 160 | 51 | 62 | 44 | 3 | 171 | 66 | 22 | 101 | 19 | 4 | 21.05% | 11 | 1 | 90.91% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 108 | 63 | 109 | 42 | 84 | 42 | 36.4% | 7.5% | 91.2% | 98.7 | DULL | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 2 | 3 | 2 | 0 | 73 | 18 | 25 | 30 | 0 | 57 | 25 | 0 | 48 | 8 | 4 | 50.00% | 0 | 0 | 0.00% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 43 | 25 | 42 | 15 | 34 | 17 | 50.0% | 9.6% | 94.7% | 104.3 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 58 | 23 | 15 | 20 | 0 | 64 | 23 | 24 | 34 | 7 | 2 | 28.57% | 12 | 1 | 91.67% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 41 | 22 | 42 | 18 | 36 | 18 | 37.5% | 8.6% | 90.6% | 99.2 | Unlucky | |
10 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 2 | 2 | 63 | 17 | 19 | 23 | 7 | 61 | 14 | 14 | 32 | 8 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 45 | 26 | 45 | 18 | 34 | 18 | 50.0% | 9.5% | 85.2% | 94.8 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 0 | 2 | 0 | 35 | 11 | 7 | 17 | 0 | 42 | 13 | 10 | 16 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 19 | 11 | 23 | 8 | 17 | 8 | 37.5% | 8.6% | 88.1% | 96.7 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 2 | 0 | 52 | 20 | 18 | 14 | 0 | 69 | 23 | 12 | 52 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 40 | 23 | 45 | 17 | 33 | 16 | 45.5% | 11.5% | 91.3% | 102.8 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 23 | 6 | 12 | 5 | 0 | 36 | 14 | 12 | 16 | 3 | 2 | 66.67% | 6 | 3 | 50.00% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 21 | 12 | 20 | 8 | 17 | 8 | 0.0% | 8.7% | 88.9% | 97.6 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 28 | 13 | 8 | 7 | 0 | 36 | 12 | 4 | 22 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 20 | 12 | 22 | 8 | 17 | 8 | 50.0% | 10.7% | 94.4% | 105.2 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 4 | 7 | 10 | 0 | 25 | 9 | 12 | 25 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 23 | 13 | 18 | 9 | 18 | 8 | 50.0% | 4.8% | 92.0% | 96.8 | DULL | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 64 | 18 | 29 | 17 | 0 | 72 | 29 | 14 | 42 | 0 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 41 | 25 | 45 | 17 | 32 | 16 | 66.7% | 9.4% | 93.1% | 102.4 | LUCKY | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 22 | 4 | 3 | 0 | 32 | 11 | 6 | 25 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 21 | 12 | 22 | 9 | 16 | 7 | 20.0% | 3.4% | 87.5% | 90.9 | Unlucky | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 0 | 2 | 2 | 0 | 63 | 17 | 25 | 21 | 0 | 67 | 19 | 16 | 43 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 39 | 22 | 46 | 17 | 34 | 16 | 50.0% | 6.3% | 92.5% | 98.9 | DULL | |
_Vs Division | 13 | 7 | 3 | 0 | 1 | 0 | 1 | 1 | 37 | 30 | 7 | 19 | 0.731 | 37 | 54 | 91 | 0 | 0 | 6 | 16 | 13 | 3 | 440 | 124 | 136 | 175 | 12 | 428 | 135 | 66 | 244 | 34 | 10 | 29.41% | 32 | 5 | 84.38% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 282 | 168 | 287 | 112 | 219 | 110 | 51.9% | 8.4% | 93.0% | 101.4 | DULL | |
_Vs Conference | 23 | 9 | 9 | 0 | 2 | 0 | 2 | 1 | 65 | 65 | 0 | 27 | 0.587 | 65 | 99 | 164 | 1 | 0 | 16 | 28 | 17 | 6 | 757 | 222 | 258 | 265 | 22 | 756 | 248 | 132 | 443 | 67 | 17 | 25.37% | 65 | 15 | 76.92% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 502 | 298 | 504 | 199 | 389 | 196 | 49.0% | 8.6% | 91.4% | 100.0 | DULL | |
_Since Last GM Reset | 36 | 14 | 17 | 0 | 2 | 0 | 2 | 1 | 96 | 104 | -8 | 37 | 0.514 | 96 | 152 | 248 | 3 | 0 | 23 | 40 | 29 | 6 | 1130 | 356 | 383 | 379 | 22 | 1199 | 401 | 242 | 718 | 92 | 23 | 25.00% | 121 | 23 | 80.99% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 771 | 453 | 792 | 314 | 613 | 306 | 47.4% | 8.5% | 91.3% | 99.8 | DULL | |
Total | 36 | 14 | 17 | 0 | 2 | 0 | 2 | 1 | 96 | 104 | -8 | 37 | 0.514 | 96 | 152 | 248 | 3 | 0 | 23 | 40 | 29 | 6 | 1130 | 356 | 383 | 379 | 22 | 1199 | 401 | 242 | 718 | 92 | 23 | 25.00% | 121 | 23 | 80.99% | 0 | 406 | 869 | 46.72% | 417 | 911 | 45.77% | 262 | 507 | 51.68% | 771 | 453 | 792 | 314 | 613 | 306 | 47.4% | 8.5% | 91.3% | 99.8 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 869 |
Neutral Zone Start | 507 |
Defensive Zone Start | 911 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1085 |
Faceoffs Lost | 1202 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 20.5 | 20.31 |
3rd Period | 31.1 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 70 |
---|---|
PP Goal | 23 |
PK Goal | 0 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 10 | 8 |
Lost | 9 | 8 |
Overtime Lost | 0 | 1 |
PP Attempt | 92 |
---|---|
PP Goal | 23 |
PK Attempt | 121 |
PK Goal Against | 23 |
Home | |
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Shots For | 31.4 |
Shots Against | 33.3 |
Goals For | 2.7 |
Goals Against | 2.9 |
Hits | 19.9 |
Shots Blocked | 11.1 |
Pim | 6.7 |
Projected Total Cap Hit | 89,827,906$ |
Projected Cap Space | 172,094$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 41,860,291$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2018-2019 | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Werner | C/LW/RW | 22 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | ||||
Akil Thomas | C/RW | 23 | 5,600,000$ | 5,600,000$ | 5,600,000$ | 5,600,000$ | 5,600,000$ | ||||
Alexis Lafreniere ![]() | LW/RW | 21 | 2,500,000$ | 2,500,000$ | |||||||
Andre Burakovsky | LW/RW | 28 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |||||
Blake Coleman ![]() | C/LW/RW | 31 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | |||||
Brett Pesce | D | 28 | 6,000,000$ | 6,000,000$ | |||||||
Calle Jarnkrok ![]() | C/LW/RW | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||
Casey Mittelstadt ![]() | C/LW | 24 | 2,500,000$ | 2,500,000$ | |||||||
Chris Kreider | LW/RW | 32 | 4,700,000$ | 4,700,000$ | |||||||
Chris Tanev ![]() | D | 33 | 700,000$ | 700,000$ | 700,000$ | ||||||
Connor Timmins ![]() | D | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||
David Rittich ![]() | D | 31 | 850,000$ | 850,000$ | |||||||
Jaret Anderson-Dolan | C/LW/RW | 24 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||
Josh Morrissey | D | 28 | 4,500,000$ | 4,500,000$ | |||||||
Marco Rossi | C/RW | 22 | 3,500,000$ | 3,500,000$ | |||||||
Mikhail Sergachev | D | 25 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | ||||
Moritz Seider ![]() | D | 22 | 863,333$ | 863,333$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||
Ryan Suzuki ![]() | C | 22 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 750,000$ | ||||
Serron Noel ![]() | RW | 22 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Seth Jones | D | 28 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | ||||
Trey Fix-Wolansky | LW/RW | 24 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||
Yaroslav Askarov ![]() | D | 21 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Arseny Koromyslov | 6 | 84 | |||
Cameron Whynot | 4 | 30 | |||
Gage Alexander | 5 | 39 | |||
Kirill Kudryavtsev | 6 | 94 | |||
Luca Cagnoni | 8 | 39 | |||
Luca Munzenberger | 5 | 43 | |||
Nikita Grebenkin | 7 | 46 | |||
Redmond Savage | 5 | 64 | |||
Servac Petrovsky | 7 | 71 | |||
Tom Wallinder | 8 | 17 | |||
Tyler Muszelik | 7 | 94 | |||
Yegor Zavragin | 8 | 22 |
Date | Matchup | Result | Detail | |||||||||||
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2023-09-26 | @ | Oilers2,Kings1 | RECAP | |||||||||||
2023-09-27 | @ | Oilers3,Wild7 | RECAP | |||||||||||
2023-09-29 | @ | Flames3,Oilers5 | RECAP | |||||||||||
2023-10-01 | @ | Oilers1,Coyotes4 | RECAP | |||||||||||
2023-10-03 | @ | Kings2,Oilers3 | RECAP | |||||||||||
2023-10-05 | @ | Golden Knights1,Oilers3 | RECAP | |||||||||||
2023-10-07 | @ | Oilers3,Flames4 (SO) | RECAP | |||||||||||
2023-10-09 | @ | Ducks1,Oilers3 | RECAP | |||||||||||
2023-10-11 | @ | Oilers4,Ducks2 | RECAP | |||||||||||
2023-10-13 | @ | Canucks4,Oilers2 | RECAP | |||||||||||
2023-10-15 | @ | Oilers1,Golden Knights3 | RECAP | |||||||||||
2023-10-17 | @ | Flames2,Oilers3 (SO) | RECAP | |||||||||||
2023-10-19 | @ | Coyotes4,Oilers5 | RECAP | |||||||||||
2023-10-21 | @ | Panthers4,Oilers2 | RECAP | |||||||||||
2023-10-23 | @ | Oilers3,Canucks4 | RECAP | |||||||||||
2023-10-25 | @ | Oilers3,Kings2 (OT) | RECAP | |||||||||||
2023-10-27 | @ | Oilers2,Jets4 | RECAP | |||||||||||
2023-10-30 | @ | Flyers2,Oilers3 | RECAP | |||||||||||
2023-10-31 | @ | Blue Jackets1,Oilers2 | RECAP | |||||||||||
2023-11-02 | @ | Maple Leafs5,Oilers3 | RECAP | |||||||||||
2023-11-03 | @ | Oilers4,Coyotes3 (OT) | RECAP | |||||||||||
2023-11-05 | @ | Oilers5,Rangers1 | RECAP | |||||||||||
2023-11-07 | @ | Oilers1,Lightning2 | RECAP | |||||||||||
2023-11-09 | @ | Rangers5,Oilers1 | RECAP | |||||||||||
2023-11-11 | @ | Oilers3,Wild2 (SO) | RECAP | |||||||||||
2023-11-13 | @ | Canucks1,Oilers2 | RECAP | |||||||||||
2023-11-15 | @ | Devils4,Oilers1 | RECAP | |||||||||||
2023-11-17 | @ | Oilers2,Blue Jackets4 | RECAP | |||||||||||
2023-11-19 | @ | Coyotes2,Oilers1 | RECAP | |||||||||||
2023-11-21 | @ | Oilers1,Coyotes2 | RECAP | |||||||||||
2023-11-23 | @ | Stars5,Oilers4 | RECAP | |||||||||||
2023-11-24 | @ | Oilers3,Canadiens1 | RECAP | |||||||||||
2023-11-26 | @ | Canadiens5,Oilers2 | RECAP | |||||||||||
2023-11-29 | @ | Oilers4,Panthers1 | RECAP | |||||||||||
2023-11-30 | @ | Stars2,Oilers4 | RECAP | |||||||||||
2023-12-03 | @ | Sabres4,Oilers2 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
89,863,333$ | 0$ | 89,827,906$ | 172,094$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Rogers Place | |
City | Edmonton | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 89732 | 75958 | 28911 | 60460 | 17967 |
Attendance PCT | 78.71% | 79.96% | 76.08% | 79.55% | 94.56% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
22 | 14370 - 79.83% | 4,150,489$ | 78,859,295$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
89,863,333$ | 89,863,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
42,606,904$ | 607,185$ | 41,860,291$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
91,310,763$ | 79 | 617,320$ | 48,768,280$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
51,530,578$ | 89,827,906$ | 906,166,140$ | 954,301,230$ |
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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