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Edmonton Oilers Team Overall:70 0-0-0, 0pts |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 6' 1" | 193 | 26 | 70 | 40 | 81 | 96 | 75 | 89 | 93 | 99 | 80 | 99 | 97 | 72 | 68 | 73 | 83 | 0 | 40 | 92 | 100.00 | 12,500,000$/1yrs | |
0 | ![]() | LW | 6' 1" | 211 | 30 | 71 | 64 | 81 | 75 | 85 | 84 | 91 | 79 | 55 | 86 | 79 | 68 | 54 | 70 | 65 | 0 | 40 | 80 | 100.00 | 2,250,000$/2yrs | |
0 | ![]() | RW | 6' 3" | 200 | 25 | 75 | 64 | 84 | 76 | 76 | 80 | 88 | 72 | 56 | 82 | 70 | 67 | 80 | 61 | 58 | 0 | 40 | 76 | 100.00 | 773,333$/1yrs | |
0 | ![]() | C | 6' 1" | 200 | 29 | 71 | 40 | 81 | 75 | 79 | 76 | 91 | 71 | 54 | 83 | 70 | 70 | 76 | 79 | 68 | 0 | 40 | 76 | 100.00 | 5,900,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 207 | 24 | 74 | 40 | 88 | 78 | 83 | 77 | 88 | 69 | 64 | 75 | 75 | 68 | 54 | 60 | 58 | 0 | 40 | 76 | 100.00 | 1,596,667$/1yrs | |
0 | ![]() | C | 6' 0" | 185 | 22 | 67 | 40 | 73 | 81 | 73 | 81 | 89 | 73 | 65 | 82 | 75 | 61 | 84 | 60 | 58 | 0 | 40 | 76 | 100.00 | 1,775,000$/1yrs | |
0 | ![]() | C | 5' 11" | 184 | 29 | 70 | 40 | 81 | 73 | 73 | 78 | 87 | 68 | 73 | 78 | 70 | 73 | 66 | 67 | 59 | 0 | 40 | 75 | 100.00 | 2,000,000$/1yrs | |
0 | ![]() | C | 5' 11" | 170 | 24 | 73 | 40 | 85 | 72 | 66 | 74 | 84 | 68 | 72 | 78 | 71 | 70 | 67 | 59 | 58 | 0 | 40 | 74 | 100.00 | 863,333$/1yrs | |
0 | ![]() | RW | 6' 2" | 206 | 22 | 68 | 40 | 91 | 69 | 81 | 72 | 85 | 66 | 52 | 76 | 71 | 72 | 70 | 62 | 58 | 0 | 40 | 73 | 100.00 | 3,575,000$/1yrs | |
0 | ![]() | RW | 5' 8" | 153 | 24 | 76 | 40 | 82 | 70 | 60 | 75 | 85 | 64 | 55 | 76 | 67 | 73 | 54 | 62 | 58 | 0 | 40 | 72 | 100.00 | 1,124,166$/1yrs | |
0 | ![]() | LW | 6' 1" | 195 | 21 | 79 | 64 | 83 | 61 | 76 | 72 | 90 | 66 | 55 | 76 | 68 | 66 | 74 | 61 | 58 | 0 | 40 | 72 | 100.00 | 3,775,000$/2yrs | |
0 | ![]() | LW | 5' 11" | 197 | 27 | 69 | 40 | 91 | 83 | 80 | 71 | 69 | 63 | 51 | 79 | 61 | 60 | 56 | 70 | 59 | 0 | 40 | 71 | 100.00 | 1,650,000$/1yrs | |
0 | ![]() | C | 5' 10" | 190 | 22 | 69 | 40 | 86 | 71 | 78 | 69 | 88 | 63 | 65 | 74 | 67 | 70 | 54 | 59 | 58 | 0 | 40 | 71 | 100.00 | 1,491,667$/2yrs | |
0 | ![]() | RW | 5' 11" | 197 | 22 | 68 | 41 | 85 | 68 | 79 | 66 | 70 | 63 | 54 | 72 | 67 | 68 | 54 | 56 | 57 | 0 | 40 | 70 | 100.00 | 925,000$/3yrs | |
0 | ![]() | C | 6' 1" | 194 | 26 | 75 | 40 | 88 | 67 | 76 | 58 | 78 | 59 | 65 | 70 | 64 | 71 | 54 | 64 | 67 | 0 | 40 | 69 | 100.00 | 4,750,000$/1yrs | |
0 | ![]() | RW | 6' 4" | 201 | 25 | 81 | 66 | 85 | 65 | 75 | 64 | 89 | 59 | 52 | 72 | 61 | 71 | 54 | 65 | 59 | 0 | 40 | 69 | 100.00 | 1,175,000$/2yrs | |
0 | ![]() | LW | 6' 0" | 190 | 24 | 90 | 70 | 82 | 62 | 75 | 60 | 76 | 56 | 54 | 69 | 58 | 79 | 54 | 57 | 58 | 0 | 40 | 68 | 100.00 | 726,667$/2yrs | |
0 | ![]() | RW | 6' 3" | 186 | 23 | 78 | 40 | 87 | 72 | 69 | 62 | 65 | 57 | 52 | 70 | 61 | 68 | 54 | 56 | 58 | 0 | 40 | 68 | 100.00 | 1,775,000$/1yrs | |
0 | ![]() | RW | 6' 0" | 196 | 31 | 63 | 61 | 76 | 65 | 71 | 62 | 59 | 61 | 62 | 66 | 63 | 67 | 54 | 64 | 60 | 0 | 40 | 66 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C | 6' 0" | 183 | 28 | 56 | 57 | 64 | 59 | 61 | 66 | 64 | 60 | 70 | 59 | 60 | 62 | 54 | 68 | 60 | 0 | 40 | 63 | 100.00 | 700,000$/1yrs | |
0 | ![]() | LW | 6' 1" | 190 | 24 | 55 | 57 | 66 | 61 | 61 | 67 | 65 | 61 | 55 | 59 | 62 | 64 | 54 | 60 | 56 | 0 | 40 | 63 | 100.00 | 793,750$/3yrs | |
0 | ![]() | C | 6' 3" | 194 | 22 | 55 | 61 | 66 | 60 | 65 | 68 | 65 | 59 | 70 | 57 | 59 | 61 | 54 | 55 | 53 | 0 | 40 | 62 | 100.00 | 910,833$/3yrs | |
0 | ![]() | C | 5' 11" | 172 | 22 | 56 | 60 | 61 | 61 | 58 | 67 | 65 | 61 | 70 | 59 | 59 | 57 | 54 | 55 | 53 | 0 | 40 | 61 | 100.00 | 910,833$/3yrs | |
0 | ![]() | C/LW | 5' 10" | 165 | 23 | 54 | 58 | 67 | 59 | 55 | 68 | 65 | 59 | 55 | 57 | 60 | 56 | 60 | 57 | 54 | 0 | 40 | 61 | 100.00 | 750,000$/3yrs | |
0 | ![]() | C | 6' 3" | 199 | 25 | 54 | 57 | 68 | 58 | 66 | 65 | 63 | 57 | 55 | 57 | 57 | 59 | 57 | 62 | 57 | 0 | 40 | 60 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | RW | 6' 0" | 196 | 21 | 56 | 54 | 65 | 57 | 63 | 63 | 62 | 57 | 55 | 56 | 57 | 57 | 54 | 54 | 52 | 0 | 40 | 59 | 100.00 | 894,167$/3yrs | |
0 | ![]() | RW | 6' 2" | 176 | 21 | 55 | 54 | 67 | 58 | 60 | 60 | 59 | 57 | 55 | 56 | 57 | 58 | 54 | 55 | 53 | 0 | 40 | 59 | 100.00 | 875,000$/3yrs | |
0 | ![]() | C | 6' 1" | 198 | 27 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 6' 0" | 185 | 30 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C | 5' 10" | 179 | 24 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 910,000$/1yrs | |
0 | ![]() | D | 6' 1" | 195 | 23 | 79 | 40 | 82 | 91 | 76 | 97 | 90 | 76 | 40 | 90 | 65 | 80 | 57 | 66 | 65 | 0 | 40 | 82 | 100.00 | 3,394,166$/1yrs | |
0 | ![]() | D | 6' 3" | 202 | 23 | 68 | 40 | 63 | 95 | 77 | 98 | 92 | 77 | 40 | 90 | 66 | 84 | 58 | 66 | 64 | 0 | 40 | 82 | 100.00 | 3,775,000$/1yrs | |
0 | ![]() | D | 6' 5" | 230 | 38 | 70 | 40 | 78 | 76 | 89 | 91 | 92 | 72 | 40 | 82 | 70 | 83 | 67 | 98 | 69 | 0 | 40 | 81 | 100.00 | 8,000,000$/1yrs | |
0 | ![]() | D | 6' 0" | 200 | 26 | 80 | 64 | 76 | 81 | 81 | 92 | 91 | 73 | 40 | 86 | 67 | 79 | 54 | 68 | 59 | 0 | 40 | 80 | 100.00 | 888,333$/1yrs | |
0 | ![]() | D | 6' 1" | 205 | 38 | 74 | 40 | 84 | 71 | 82 | 84 | 92 | 61 | 40 | 76 | 59 | 84 | 54 | 99 | 78 | 0 | 40 | 76 | 100.00 | 5,594,230$/1yrs | |
0 | ![]() | D | 6' 3" | 194 | 23 | 69 | 40 | 83 | 81 | 73 | 80 | 90 | 66 | 40 | 78 | 62 | 83 | 54 | 60 | 58 | 0 | 40 | 75 | 100.00 | 1,627,500$/1yrs | |
0 | ![]() | D | 6' 6" | 220 | 30 | 69 | 65 | 85 | 68 | 82 | 81 | 74 | 59 | 40 | 74 | 58 | 84 | 54 | 59 | 58 | 0 | 40 | 72 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 0" | 185 | 25 | 70 | 40 | 83 | 67 | 73 | 69 | 84 | 59 | 40 | 72 | 60 | 83 | 54 | 59 | 58 | 0 | 40 | 71 | 100.00 | 910,833$/1yrs | |
0 | ![]() | D | 6' 3" | 199 | 21 | 64 | 42 | 89 | 60 | 74 | 64 | 65 | 57 | 40 | 70 | 57 | 78 | 54 | 56 | 57 | 0 | 40 | 67 | 100.00 | 1,713,333$/3yrs | |
0 | ![]() | D | 6' 2" | 201 | 25 | 65 | 40 | 81 | 57 | 78 | 65 | 62 | 53 | 40 | 67 | 62 | 76 | 54 | 56 | 58 | 0 | 40 | 66 | 100.00 | 894,166$/1yrs | |
0 | ![]() | D | 6' 4" | 220 | 22 | 58 | 52 | 71 | 60 | 75 | 66 | 62 | 59 | 40 | 61 | 59 | 61 | 54 | 56 | 55 | 0 | 40 | 63 | 100.00 | 925,000$/2yrs | |
0 | ![]() | D | 6' 0" | 183 | 26 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 863,333$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 1" | 178 | 27 | 87 | 98 | 98 | 79 | 92 | 96 | 64 | 56 | 0 | 40 | 87 | 100.00 | 925,000$/1yrs | |||||||
0 | ![]() | 6' 1" | 183 | 27 | 62 | 66 | 64 | 62 | 75 | 80 | 59 | 56 | 0 | 40 | 68 | 100.00 | 700,000$/1yrs | |||||||
0 | ![]() | 6' 0" | 166 | 22 | 70 | 70 | 70 | 62 | 68 | 59 | 54 | 51 | 0 | 40 | 66 | 100.00 | 825,000$/3yrs | |||||||
0 | ![]() | 6' 4" | 205 | 23 | 60 | 65 | 64 | 60 | 67 | 68 | 58 | 54 | 0 | 40 | 63 | 100.00 | 927,500$/1yrs | |||||||
0 | ![]() | 6' 3" | 201 | 21 | 60 | 63 | 63 | 59 | 67 | 60 | 54 | 51 | 0 | 40 | 62 | 100.00 | 925,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Roy | 84 | 89 | 87 | 93 | 81 | 89 | 1 | CAN | 56 | 1 | 5,551,000$ |
General Manager | Sebastien Ross |
---|
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 |
---|
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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 47 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Belzile ![]() | RW | 31 | 700,000$ | 700,000$ | |||||||
Alex Newhook ![]() | C | 22 | 1,491,667$ | 1,491,667$ | 1,491,667$ | ||||||
Alexandar Georgiev ![]() | C | 27 | 925,000$ | 925,000$ | |||||||
Alexis Lafreniere ![]() | LW | 21 | 3,775,000$ | 3,775,000$ | 3,775,000$ | ||||||
Anthony Duclair ![]() | LW | 27 | 1,650,000$ | 1,650,000$ | |||||||
Brent Burns ![]() | D | 38 | 8,000,000$ | 8,000,000$ | |||||||
Cole Fonstad ![]() | C/LW | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Cole Schwindt ![]() | C | 22 | 910,833$ | 910,833$ | 910,833$ | 910,833$ | |||||
Colin White ![]() | C | 26 | 4,750,000$ | 4,750,000$ | |||||||
Connor McDavid ![]() | C | 26 | 12,500,000$ | 12,500,000$ | |||||||
Drake Batherson ![]() | RW | 25 | 773,333$ | 773,333$ | |||||||
Dustin Wolf ![]() | D | 22 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
Eric Comrie ![]() | LW | 27 | 700,000$ | 700,000$ | |||||||
Evan Bouchard ![]() | D | 23 | 1,627,500$ | 1,627,500$ | |||||||
Evan Rodrigues ![]() | C | 29 | 2,000,000$ | 2,000,000$ | |||||||
Henrik Borgstrom ![]() | C | 25 | 1,491,667$ | 1,491,667$ | |||||||
Hugo Alnefelt ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jacob Perreault ![]() | RW | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Jakub Skarek ![]() | C | 23 | 927,500$ | 927,500$ | |||||||
Jamieson Rees ![]() | C | 22 | 910,833$ | 910,833$ | 910,833$ | 910,833$ | |||||
Jaycob Megna ![]() | D | 30 | 700,000$ | 700,000$ | |||||||
Jesse Puljujarvi ![]() | RW | 25 | 1,175,000$ | 1,175,000$ | 1,175,000$ | ||||||
Jonatan Berggren ![]() | RW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jonathan Huberdeau ![]() | C | 29 | 5,900,000$ | 5,900,000$ | |||||||
Joseph Blandisi ![]() | C | 28 | 700,000$ | 700,000$ | |||||||
Josh Mahura ![]() | D | 25 | 910,833$ | 910,833$ | |||||||
Kaapo Kakko ![]() | RW | 22 | 3,575,000$ | 3,575,000$ | |||||||
Kailer Yamamoto ![]() | RW | 24 | 1,124,166$ | 1,124,166$ | |||||||
Kyle Capobianco ![]() | D | 25 | 894,166$ | 894,166$ | |||||||
Lukas Vejdemo ![]() | C | 27 | 925,000$ | 925,000$ | |||||||
Marian Studenic ![]() | LW | 24 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Michael Sgarbossa ![]() | C | 30 | 700,000$ | 700,000$ | |||||||
Miro Heiskanen ![]() | D | 23 | 3,394,166$ | 3,394,166$ | |||||||
Morgan Frost ![]() | C | 24 | 863,333$ | 863,333$ | |||||||
Noel Gunler ![]() | RW | 21 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | |||||
Oliver Kylington ![]() | D | 26 | 863,333$ | 863,333$ | |||||||
Owen Tippett ![]() | RW | 24 | 1,596,667$ | 1,596,667$ | |||||||
Parker Kelly ![]() | LW | 24 | 726,667$ | 726,667$ | 726,667$ | ||||||
Philip Broberg ![]() | D | 21 | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | |||||
Rasmus Dahlin ![]() | D | 23 | 3,775,000$ | 3,775,000$ | |||||||
Ryan Suter ![]() | D | 38 | 3,650,000$ | 3,650,000$ | |||||||
Samuel Bolduc ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
Trevor Zegras ![]() | C | 22 | 1,775,000$ | 1,775,000$ | |||||||
Vince Dunn ![]() | D | 26 | 888,333$ | 888,333$ | |||||||
Vitali Kravtsov ![]() | RW | 23 | 1,775,000$ | 1,775,000$ | |||||||
Will Bitten ![]() | C | 24 | 910,000$ | 910,000$ | |||||||
Zach Hyman ![]() | LW | 30 | 2,250,000$ | 2,250,000$ | 2,250,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,520,830$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Rogers Place | |
City | Edmonton | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,520,830$ | 89,508,810$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aleksandr Kisakov | |||||
Anton Olsson | |||||
Blake Biondi | |||||
Brent Johnson | |||||
Emil Andrae | |||||
Gannon Laroque | |||||
Joshua Roy | |||||
Lukas Cormier | |||||
Matej Tomek | |||||
Simon Robertsson | |||||
Tristan Robins |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aleksandr Kisakov | |||||
Anton Olsson | |||||
Blake Biondi | |||||
Brent Johnson | |||||
Emil Andrae | |||||
Gannon Laroque | |||||
Joshua Roy | |||||
Lukas Cormier | |||||
Matej Tomek | |||||
Simon Robertsson | |||||
Tristan Robins |