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Full Scoreboard » |
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Full Scoreboard » |
Edmonton Oilers 1-3-0, 2pts · 6th in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 76 | 40 | 84 | 67 | 87 | 86 | 82 | 68 | 62 | 63 | 71 | 85 | 69 | 74 | 73 | 65 | 75 | 0 | 31 | 3,400,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 33 | 87 | 75 | 67 | 87 | 88 | 72 | 79 | 74 | 68 | 65 | 71 | 74 | 73 | 34 | 75 | 0 | 31 | 3,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 64 | 77 | 81 | 83 | 91 | 90 | 83 | 86 | 87 | 82 | 84 | 81 | 80 | 76 | 65 | 75 | 0 | 32 | 8,000,000$/6yrs | |||
![]() | 0 | C | 100.00 | 89 | 72 | 74 | 68 | 85 | 81 | 87 | 67 | 65 | 66 | 69 | 77 | 64 | 68 | 72 | 48 | 75 | 0 | 28 | 3,250,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 34 | 92 | 74 | 69 | 86 | 87 | 73 | 56 | 71 | 72 | 66 | 74 | 67 | 70 | 75 | 75 | 0 | 26 | 3,475,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 73 | 48 | 71 | 74 | 79 | 81 | 88 | 68 | 55 | 67 | 65 | 66 | 64 | 72 | 71 | 50 | 75 | 0 | 29 | 2,500,000$/5yrs | |||
![]() | 0 | C | 100.00 | 62 | 37 | 92 | 68 | 73 | 86 | 75 | 66 | 70 | 62 | 67 | 65 | 68 | 62 | 66 | 91 | 75 | 0 | 21 | 918,333$/2yrs | |||
![]() | 0 | C | 100.00 | 69 | 36 | 85 | 69 | 81 | 86 | 90 | 68 | 83 | 65 | 66 | 84 | 67 | 88 | 76 | 45 | 75 | 0 | 35 | 3,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 81 | 40 | 92 | 64 | 93 | 82 | 85 | 63 | 65 | 61 | 66 | 64 | 63 | 67 | 68 | 42 | 75 | 0 | 27 | 775,000$/1yrs | |||
![]() | 11 | RW | 100.00 | 66 | 59 | 70 | 71 | 66 | 83 | 81 | 68 | 57 | 66 | 70 | 63 | 67 | 81 | 74 | 34 | 75 | 0 | 32 | 6,500,000$/3yrs | |||
![]() | 13 | C/RW | 100.00 | 73 | 37 | 87 | 71 | 87 | 88 | 90 | 72 | 82 | 76 | 73 | 93 | 71 | 83 | 75 | 49 | 75 | 0 | 33 | 5,300,000$/2yrs | |||
![]() | 22 | LW/RW | 100.00 | 68 | 35 | 76 | 83 | 75 | 88 | 89 | 82 | 56 | 84 | 78 | 65 | 80 | 73 | 75 | 72 | 75 | 0 | 28 | 7,875,000$/5yrs | |||
![]() | 5 | D | 100.00 | 80 | 69 | 73 | 66 | 89 | 90 | 84 | 63 | 30 | 67 | 62 | 87 | 53 | 78 | 71 | 64 | 75 | 0 | 32 | 4,800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 48 | 77 | 74 | 84 | 91 | 81 | 68 | 30 | 75 | 65 | 81 | 54 | 62 | 69 | 84 | 75 | 0 | 23 | 832,500$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 35 | 88 | 73 | 75 | 90 | 88 | 71 | 30 | 77 | 65 | 76 | 55 | 82 | 75 | 42 | 75 | 0 | 33 | 7,750,000$/1yrs | |||
![]() | 8 | D | 100.00 | 84 | 71 | 73 | 70 | 85 | 92 | 89 | 67 | 30 | 75 | 62 | 92 | 53 | 78 | 86 | 69 | 75 | 0 | 31 | 8,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 37 | 84 | 75 | 85 | 92 | 90 | 73 | 30 | 78 | 75 | 85 | 59 | 76 | 73 | 64 | 75 | 0 | 31 | 7,250,000$/7yrs | |||
![]() | 0 | D | 100.00 | 71 | 38 | 93 | 66 | 88 | 89 | 90 | 62 | 30 | 73 | 58 | 86 | 50 | 79 | 74 | 42 | 75 | 0 | 33 | 3,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 75 | 71 | 67 | 66 | 85 | 73 | 82 | 61 | 62 | 59 | 60 | 63 | 58 | 68 | 69 | 62 | 75 | 0 | 28 | 850,000$/2yrs | |||
![]() | 0 | LW | 0.00 | 70 | 36 | 91 | 68 | 66 | 90 | 82 | 67 | 64 | 65 | 68 | 81 | 64 | 66 | 67 | 47 | 75 | 0 | 25 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 36 | 90 | 67 | 65 | 81 | 74 | 66 | 30 | 71 | 53 | 59 | 49 | 66 | 68 | 70 | 75 | 0 | 26 | 1,150,000$/1yrs | |||
TEAM AVERAGE | 95.24 | 74 | 46 | 82 | 71 | 79 | 86 | 85 | 69 | 55 | 71 | 67 | 76 | 64 | 74 | 72 | 58 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 88 | 85 | 79 | 80 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 82 | 89 | 51 | 75 | 0 | 34 | 3,850,000$/1yrs |
![]() | 0 | 100.00 | 94 | 86 | 82 | 87 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 68 | 77 | 58 | 75 | 0 | 28 | 766,667$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 91 | 86 | 81 | 84 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 75 | 83 | 55 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 90 | 83 | 82 | 81 | 97 | 91 | 46 | USA | 65 | 2 | 4,000,000$ |
General Manager | PL Bouchard - Tutelle |
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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 | Dmitry Orlov | 0 | D | 4 | 1 | 3 | 4 | -4 | 4 | 0 | 6 | 3 | 0 | 3 | 33.33% | 4 | 22.59 | 1 | 2 | 3 | 6 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | ||
2 | Kevin Fiala | 22 | LW/RW | 4 | 1 | 3 | 4 | -2 | 2 | 0 | 3 | 12 | 2 | 10 | 8.33% | 0 | 16.76 | 1 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 | ||
3 | J.T. Miller | 0 | C/LW/RW | 4 | 1 | 2 | 3 | -2 | 10 | 0 | 10 | 15 | 6 | 7 | 6.67% | 2 | 19.17 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 12 | 0 | 0 | 57.55% | 106 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | ||
4 | Charlie Coyle | 13 | C/RW | 4 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 9 | 3 | 9 | 11.11% | 2 | 20.72 | 1 | 1 | 2 | 9 | 0 | 0 | 0 | 21 | 0 | 0 | 62.67% | 75 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
5 | Jacob Trouba | 8 | D | 4 | 1 | 2 | 3 | -3 | 8 | 0 | 18 | 5 | 2 | 3 | 20.00% | 4 | 20.76 | 0 | 2 | 2 | 6 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
6 | Brady Skjei | 0 | D | 4 | 0 | 3 | 3 | -4 | 2 | 0 | 2 | 7 | 3 | 2 | 0.00% | 10 | 22.63 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
7 | Brian Dumoulin | 0 | D | 4 | 0 | 3 | 3 | 1 | 2 | 0 | 6 | 2 | 2 | 2 | 0.00% | 11 | 24.44 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
8 | Joel Armia | 0 | RW | 4 | 2 | 0 | 2 | -1 | 2 | 0 | 10 | 10 | 1 | 3 | 20.00% | 1 | 14.23 | 1 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
9 | Evan Rodrigues | 0 | C/LW/RW | 4 | 2 | 0 | 2 | 0 | 0 | 0 | 1 | 7 | 2 | 2 | 28.57% | 0 | 15.57 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 3 | 1 | 0 | 57.14% | 14 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
10 | Eeli Tolvanen | 0 | LW/RW | 4 | 1 | 1 | 2 | -1 | 0 | 0 | 4 | 8 | 2 | 5 | 12.50% | 0 | 14.24 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
11 | Dakota Joshua | 0 | C | 4 | 1 | 0 | 1 | -3 | 0 | 0 | 6 | 6 | 2 | 3 | 16.67% | 0 | 15.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
12 | Lars Eller | 0 | C | 4 | 0 | 1 | 1 | -3 | 0 | 0 | 0 | 13 | 1 | 3 | 0.00% | 0 | 17.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 44.55% | 101 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
13 | Connor Murphy | 5 | D | 4 | 0 | 0 | 0 | 0 | 10 | 0 | 7 | 2 | 0 | 1 | 0.00% | 3 | 15.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Kaiden Guhle | 0 | D | 4 | 0 | 0 | 0 | -4 | 2 | 0 | 2 | 2 | 0 | 2 | 0.00% | 5 | 13.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Miles Wood | 0 | LW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 3 | 0 | 1 | 0.00% | 0 | 7.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Shane Wright | 0 | C | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 1 | 2 | 0 | 0.00% | 1 | 8.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39.39% | 33 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Justin Brazeau | 0 | RW | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 7.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Brendan Gallagher | 11 | RW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 3 | 1 | 1 | 0.00% | 0 | 12.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 72 | 11 | 20 | 31 | -35 | 44 | 0 | 80 | 111 | 29 | 57 | 9.91% | 43 | 16.07 | 4 | 7 | 11 | 80 | 0 | 0 | 0 | 147 | 1 | 1 | 53.06% | 360 | 0 | 0 | 0 | 0 | 0.54 | 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 | Jake Allen | Oilers | 4 | 1 | 3 | 0 | 0.897 | 4.00 | 240 | 0 | 0 | 16 | 156 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
Team Total or Average | 4 | 1 | 3 | 0 | 0.897 | 4.00 | 240 | 0 | 0 | 16 | 156 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer | LW/G | 28 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Brady Skjei ![]() | D | 31 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA |
Brendan Gallagher ![]() | RW | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Brian Dumoulin ![]() | D | 33 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Charlie Coyle | C/RW | 33 | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||||
Connor Murphy | D/G | 32 | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | |||||
Dakota Joshua ![]() | C | 28 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Dmitry Orlov | D | 33 | 7,750,000$ | 7,750,000$ | UFA | ||||||
Eeli Tolvanen | LW/RW | 26 | 3,475,000$ | 3,475,000$ | 3,475,000$ | RFA | |||||
Evan Rodrigues ![]() | C/LW/RW/G | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
J.T. Miller ![]() | C/LW/RW/G | 32 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
Jacob Trouba ![]() | D | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||||
Jake Allen ![]() | RW/G | 34 | 3,850,000$ | 3,850,000$ | |||||||
Joel Armia | RW/G | 31 | 3,400,000$ | 3,400,000$ | |||||||
Justin Brazeau ![]() | RW | 27 | 775,000$ | 775,000$ | RFA | ||||||
Kaiden Guhle ![]() | D | 23 | 832,500$ | 832,500$ | |||||||
Kevin Fiala ![]() | LW/RW | 28 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | |||
Lars Eller | C | 35 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Logan Thompson ![]() | C/G | 28 | 766,667$ | 766,667$ | RFA | ||||||
Miles Wood ![]() | LW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||
Rafael Harvey-Pinard ![]() | LW | 25 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Scott Perunovich | D | 26 | 1,150,000$ | 1,150,000$ | RFA | ||||||
Shane Wright ![]() | C | 21 | 918,333$ | 918,333$ | 918,333$ |
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Goalies | |||||||
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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 |
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1 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 111 | 34 | 31 | 46 | 0 | 156 | 43 | 44 | 80 | 11 | 4 | 36.36% | 19 | 2 | 89.47% | 0 | 70 | 133 | 52.63% | 84 | 156 | 53.85% | 37 | 71 | 52.11% | 85 | 55 | 102 | 31 | 52 | 25 | 33.3% | 9.9% | 89.7% | 99.7 | FUN | |
_Vs Division | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 111 | 34 | 31 | 46 | 0 | 156 | 43 | 44 | 80 | 11 | 4 | 36.36% | 19 | 2 | 89.47% | 0 | 70 | 133 | 52.63% | 84 | 156 | 53.85% | 37 | 71 | 52.11% | 85 | 55 | 102 | 31 | 52 | 25 | 33.3% | 9.9% | 89.7% | 99.7 | FUN | |
_Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 111 | 34 | 31 | 46 | 0 | 156 | 43 | 44 | 80 | 11 | 4 | 36.36% | 19 | 2 | 89.47% | 0 | 70 | 133 | 52.63% | 84 | 156 | 53.85% | 37 | 71 | 52.11% | 85 | 55 | 102 | 31 | 52 | 25 | 33.3% | 9.9% | 89.7% | 99.7 | FUN | |
_Since Last GM Reset | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 111 | 34 | 31 | 46 | 0 | 156 | 43 | 44 | 80 | 11 | 4 | 36.36% | 19 | 2 | 89.47% | 0 | 70 | 133 | 52.63% | 84 | 156 | 53.85% | 37 | 71 | 52.11% | 85 | 55 | 102 | 31 | 52 | 25 | 33.3% | 9.9% | 89.7% | 99.7 | FUN | |
Total | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 111 | 34 | 31 | 46 | 0 | 156 | 43 | 44 | 80 | 11 | 4 | 36.36% | 19 | 2 | 89.47% | 0 | 70 | 133 | 52.63% | 84 | 156 | 53.85% | 37 | 71 | 52.11% | 85 | 55 | 102 | 31 | 52 | 25 | 33.3% | 9.9% | 89.7% | 99.7 | FUN |
Puck Time | |
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Offensive Zone | 21 |
Neutral Zone | 13 |
Defensive Zone | 25 |
Puck Time | |
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Offensive Zone Start | 133 |
Neutral Zone Start | 71 |
Defensive Zone Start | 156 |
Puck Time | |
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With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
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Faceoffs Won | 191 |
Faceoffs Lost | 169 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 16.3 | 20.31 |
3rd Period | 27.8 | 30.68 |
Overtime | 27.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 7 |
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PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
---|---|
PP Goal | 4 |
PK Attempt | 19 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 27.8 |
Shots Against | 39.0 |
Goals For | 2.8 |
Goals Against | 4.0 |
Hits | 20.0 |
Shots Blocked | 10.8 |
Pim | 11.0 |
Date | Matchup | Result | Detail | |||||||||||
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2025-04-20 | @ | Oilers2,Sharks5 | RECAP | |||||||||||
2025-04-22 | @ | Oilers1,Sharks3 | RECAP | |||||||||||
2025-04-24 | @ | Sharks3,Oilers6 | RECAP | |||||||||||
2025-04-26 | @ | Sharks5,Oilers2 | RECAP | |||||||||||
2025-04-28 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-04-30 | @ | |||||||||||||
2025-05-02 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,517,500$ | 0$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Rogers Place | |
City | Edmonton | ||
Capacity | 16838 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 5000 | 2000 | 3838 | 1000 |
Ticket Price | 130$ | 105$ | 80$ | 60$ | 220$ |
Attendance | 10000 | 10000 | 4000 | 7676 | 2000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 16838 - 100.00% | 2,231,600$ | 4,463,200$ | 16838 | 150 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,517,500$ | 86,742,499$ | 0$ | 0$ |
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$ | 5 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 156,622,876$ | 156,622,876$ |
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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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
---|---|---|---|---|---|
Anthony Romani | 2023 | 205 | |||
Antonin Verreault | 2022 | 130 | |||
Arttu Karki | 2023 | 73 | |||
Caden Price | 2023 | 49 | ELC 2024-25 | Link | |
Cal Thomas | 2021 | 176 | |||
Carter Berger | 2019 | 114 | |||
Cedrick Guindon | 2022 | 121 | |||
Eerik Wallenius | 2024 | 135 | |||
Ethan Edwards | 2020 | 139 | |||
Heikki Ruohonen | 2024 | 71 | |||
Hoyt Stanley | 2023 | 114 | |||
Jérémy Langlois | 2022 | 102 | |||
Konstantin Volochko | 2023 | 141 | |||
Matyas Melovsky | 2024 | 167 | |||
Oscar Fisker Molgaard | 2023 | 45 | |||
Sebastian Gatto | 2024 | 199 |
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