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Full Scoreboard »» |
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Full Scoreboard »» |
Calgary Flames 16-6-4, 36pts · 2nd in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 90 | C | 100.00 | 59 | 33 | 90 | 81 | 81 | 90 | 90 | 83 | 92 | 79 | 87 | 92 | 85 | 82 | 97 | 0 | 62 | 93 | 32 | 4,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 34 | 90 | 85 | 90 | 87 | 90 | 83 | 59 | 76 | 92 | 75 | 87 | 81 | 91 | 0 | 57 | 92 | 32 | 6,750,000$/4yrs | |||
![]() | 63 | LW | 100.00 | 67 | 32 | 74 | 80 | 66 | 88 | 90 | 80 | 58 | 84 | 80 | 84 | 80 | 86 | 98 | 0 | 62 | 91 | 35 | 6,125,000$/2yrs | |||
![]() | 18 | LW/RW | 100.00 | 93 | 65 | 50 | 69 | 90 | 82 | 87 | 72 | 61 | 72 | 74 | 81 | 73 | 79 | 81 | 0 | 55 | 85 | 32 | 3,100,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 58 | 32 | 94 | 73 | 71 | 89 | 76 | 72 | 60 | 79 | 69 | 83 | 71 | 75 | 75 | 0 | 59 | 84 | 29 | 775,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 33 | 86 | 77 | 81 | 79 | 88 | 75 | 76 | 75 | 78 | 65 | 76 | 65 | 64 | 0 | 56 | 83 | 24 | 3,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 61 | 33 | 89 | 70 | 79 | 84 | 79 | 73 | 83 | 80 | 69 | 66 | 71 | 86 | 85 | 0 | 59 | 83 | 36 | 9,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 35 | 82 | 72 | 83 | 82 | 87 | 72 | 82 | 74 | 73 | 78 | 72 | 70 | 68 | 0 | 58 | 83 | 26 | 3,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 33 | 93 | 69 | 81 | 78 | 87 | 69 | 58 | 71 | 70 | 80 | 70 | 73 | 72 | 0 | 56 | 82 | 28 | 1,600,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 33 | 93 | 65 | 79 | 81 | 90 | 67 | 86 | 71 | 66 | 79 | 67 | 73 | 73 | 0 | 64 | 80 | 28 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 84 | 34 | 81 | 65 | 86 | 75 | 84 | 71 | 58 | 68 | 73 | 66 | 72 | 73 | 71 | 0 | 64 | 79 | 28 | 1,400,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 37 | 88 | 56 | 76 | 76 | 89 | 64 | 82 | 66 | 64 | 81 | 64 | 90 | 89 | 0 | 63 | 78 | 38 | 850,000$/1yrs | |||
![]() | 74 | D | 100.00 | 68 | 34 | 90 | 78 | 86 | 95 | 84 | 78 | 30 | 86 | 76 | 83 | 77 | 83 | 91 | 0 | 57 | 92 | 33 | 8,000,000$/3yrs | |||
![]() | 6 | D | 100.00 | 71 | 34 | 94 | 66 | 88 | 90 | 90 | 70 | 30 | 72 | 65 | 89 | 67 | 75 | 82 | 0 | 59 | 86 | 29 | 5,800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 34 | 76 | 69 | 88 | 92 | 89 | 73 | 30 | 73 | 64 | 89 | 69 | 72 | 70 | 0 | 58 | 86 | 28 | 4,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 77 | 41 | 82 | 58 | 85 | 85 | 83 | 68 | 30 | 67 | 64 | 88 | 66 | 79 | 77 | 0 | 59 | 83 | 31 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 33 | 90 | 63 | 79 | 91 | 90 | 67 | 30 | 67 | 66 | 83 | 67 | 81 | 79 | 0 | 60 | 81 | 32 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 75 | 35 | 82 | 57 | 82 | 85 | 84 | 66 | 30 | 68 | 68 | 80 | 67 | 70 | 68 | 0 | 64 | 80 | 27 | 2,750,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 36 | 85 | 70 | 82 | 85 | 87 | 72 | 58 | 74 | 72 | 80 | 72 | 77 | 80 | 0 | 60 | 85 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 99.00 | 79 | 91 | 79 | 76 | 83 | 80 | 85 | 92 | 83 | 92 | 85 | 78 | 82 | 0 | 68 | 88 | 32 | 5,250,000$/2yrs |
![]() | 0 | 100.00 | 84 | 81 | 75 | 73 | 84 | 80 | 85 | 88 | 85 | 88 | 85 | 78 | 83 | 0 | 67 | 86 | 32 | 2,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 82 | 86 | 77 | 75 | 84 | 80 | 85 | 90 | 84 | 90 | 85 | 78 | 83 | 0 | 68 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Luke Richardson | 83 | 61 | 79 | 75 | 74 | 70 | 61 | CAN | 55 | 2 | 1,000,000$ |
General Manager | Guillaume Papillon |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan O'Reilly | 90 | C | 26 | 6 | 15 | 21 | 3 | 2 | 0 | 12 | 94 | 34 | 74 | 6.38% | 6 | 19.31 | 1 | 3 | 4 | 82 | 0 | 0 | 0 | 0 | 2 | 0 | 57.73% | 634 | 0 | 0 | 0 | 0 | 0.84 | 0 | 2 | |
2 | Chris Kreider | 0 | LW/RW | 26 | 12 | 8 | 20 | 4 | 14 | 0 | 47 | 91 | 33 | 70 | 13.19% | 5 | 18.74 | 1 | 3 | 4 | 82 | 0 | 0 | 0 | 0 | 0 | 0 | 40.63% | 32 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | |
3 | Esa Lindell | 6 | D | 26 | 5 | 14 | 19 | 1 | 12 | 0 | 43 | 37 | 12 | 12 | 13.51% | 38 | 21.43 | 3 | 3 | 6 | 68 | 0 | 2 | 2 | 74 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
4 | Brad Marchand | 63 | LW | 26 | 6 | 11 | 17 | 6 | 4 | 0 | 39 | 82 | 18 | 51 | 7.32% | 0 | 16.16 | 0 | 4 | 4 | 71 | 0 | 0 | 0 | 5 | 3 | 1 | 41.03% | 39 | 0 | 0 | 0 | 0 | 0.81 | 0 | 2 | |
5 | John Carlson | 74 | D | 26 | 4 | 13 | 17 | 8 | 2 | 0 | 22 | 65 | 21 | 35 | 6.15% | 26 | 23.85 | 2 | 1 | 3 | 85 | 0 | 2 | 2 | 80 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
6 | Connor Brown | 0 | RW | 26 | 7 | 9 | 16 | 2 | 2 | 0 | 16 | 72 | 25 | 49 | 9.72% | 8 | 19.27 | 3 | 2 | 5 | 84 | 2 | 1 | 3 | 97 | 1 | 0 | 43.48% | 46 | 0 | 0 | 0 | 0 | 0.64 | 1 | 1 | |
7 | Filip Chytil | 0 | C/LW | 26 | 5 | 8 | 13 | 6 | 0 | 0 | 19 | 58 | 15 | 41 | 8.62% | 1 | 18.88 | 1 | 1 | 2 | 63 | 0 | 0 | 0 | 17 | 2 | 0 | 43.94% | 66 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
8 | Zach Whitecloud | 0 | D | 26 | 3 | 10 | 13 | 4 | 28 | 0 | 33 | 24 | 12 | 25 | 12.50% | 25 | 20.62 | 2 | 2 | 4 | 69 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
9 | Marcus Foligno | 18 | LW/RW | 26 | 9 | 4 | 13 | 4 | 20 | 0 | 68 | 59 | 8 | 27 | 15.25% | 3 | 13.60 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 20 | 2 | 2 | 27.78% | 18 | 0 | 0 | 0 | 0 | 0.74 | 1 | 2 | |
10 | Vladislav Gavrikov | 0 | D | 26 | 2 | 9 | 11 | 4 | 38 | 0 | 44 | 18 | 6 | 13 | 11.11% | 27 | 16.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
11 | Nicolas Roy | 0 | C/RW | 26 | 3 | 6 | 9 | 4 | 2 | 0 | 7 | 57 | 10 | 47 | 5.26% | 5 | 16.56 | 0 | 2 | 2 | 68 | 0 | 0 | 0 | 33 | 2 | 0 | 50.51% | 396 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
12 | Nick Leddy | 0 | D | 26 | 2 | 6 | 8 | -1 | 6 | 0 | 17 | 23 | 7 | 10 | 8.70% | 19 | 19.98 | 0 | 2 | 2 | 84 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
13 | David Kampf | 0 | C/LW | 26 | 3 | 4 | 7 | -1 | 17 | 5 | 15 | 28 | 10 | 24 | 10.71% | 2 | 12.70 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 0 | 2 | 54.64% | 388 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
14 | William Carrier | 0 | LW | 26 | 3 | 4 | 7 | 0 | 10 | 0 | 31 | 22 | 10 | 23 | 13.64% | 1 | 8.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.84% | 19 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
15 | Derek Forbort | 0 | D | 26 | 0 | 6 | 6 | 5 | 13 | 5 | 56 | 10 | 4 | 8 | 0.00% | 35 | 18.57 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 65 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
16 | Pierre-Edouard Bellemare | 0 | C/LW | 26 | 4 | 2 | 6 | 2 | 0 | 0 | 12 | 23 | 2 | 21 | 17.39% | 1 | 11.86 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 91 | 1 | 0 | 56.38% | 431 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
17 | Eric Robinson | 0 | LW/RW | 26 | 1 | 4 | 5 | 0 | 4 | 0 | 11 | 39 | 10 | 24 | 2.56% | 4 | 8.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
18 | Nicklas Backstrom | 0 | C | 26 | 3 | 2 | 5 | -1 | 10 | 0 | 21 | 27 | 2 | 10 | 11.11% | 2 | 12.32 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 46.38% | 138 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
Team Total or Average | 468 | 78 | 135 | 213 | 50 | 184 | 10 | 513 | 829 | 239 | 564 | 9.41% | 208 | 16.52 | 13 | 23 | 36 | 781 | 3 | 6 | 9 | 591 | 14 | 6 | 53.23% | 2217 | 0 | 0 | 0 | 0 | 0.55 | 2 | 7 |
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 | Philipp Grubauer | 21 | 13 | 5 | 3 | 0.911 | 2.53 | 1283 | 0 | 1 | 54 | 608 | 0 | 0 | 1 | 1.000 | 3 | 21 | 5 | 2 | 1 | 2 | |
2 | Casey DeSmith | 5 | 3 | 1 | 1 | 0.910 | 2.55 | 306 | 2 | 1 | 13 | 145 | 0 | 0 | 0 | 1.000 | 4 | 5 | 21 | 1 | 1 | 0 | |
Team Total or Average | 26 | 16 | 6 | 4 | 0.911 | 2.53 | 1589 | 2 | 2 | 67 | 753 | 0 | 0 | 1 | 1.000 | 7 | 26 | 26 | 3 | 2 | 2 |
Projected Total Cap Hit | 77,122,672$ |
Projected Cap Space | 6,377,328$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 24,082,036$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Flames Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brad Marchand | LW | 35 | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA | |||||
Casey DeSmith | G | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Chris Kreider | LW/RW | 32 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||
Connor Brown | RW | 29 | 775,000$ | 775,000$ | UFA | ||||||
David Kampf | C/LW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Derek Forbort | D | 31 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Eric Robinson | LW/RW | 28 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Esa Lindell | D | 29 | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||||
Filip Chytil | C/LW | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
John Carlson | D | 33 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Marcus Foligno | LW/RW | 32 | 3,100,000$ | 3,100,000$ | UFA | ||||||
Nick Leddy | D | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Nicklas Backstrom | C | 36 | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||||
Nicolas Roy | C/RW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Philipp Grubauer | G | 32 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Pierre-Edouard Bellemare ![]() | C/LW | 38 | 850,000$ | 850,000$ | UFA | ||||||
Ryan O'Reilly | C | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Vladislav Gavrikov | D | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
William Carrier | LW | 28 | 1,400,000$ | 1,400,000$ | UFA | ||||||
Zach Whitecloud | D | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Werner ![]() | G | 26 | 800,000$ | 800,000$ | UFA | ||||||
Alex-Olivier Voyer ![]() | RW | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Alexander True ![]() | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Andreas Englund ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Andrei Altybarmakyan ![]() | RW | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Andrew Agozzino ![]() | C/LW | 32 | 800,000$ | 800,000$ | UFA | ||||||
Arnaud Durandeau ![]() | LW | 24 | 850,000$ | 850,000$ | ![]() | ||||||
Ashton Sautner ![]() | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Axel Rindell ![]() | D | 23 | 838,750$ | 838,750$ | ![]() | ||||||
Ben Harpur ![]() | D | 28 | 787,500$ | 787,500$ | 787,500$ | UFA | |||||
Ben Jones ![]() | C | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Brian Halonen ![]() | LW/RW | 24 | 925,000$ | 925,000$ | ![]() | ||||||
Callahan Burke ![]() | RW | 26 | 775,000$ | 775,000$ | UFA | ||||||
Chris Wagner ![]() | C/LW/RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Dakota Mermis ![]() | D | 29 | 900,000$ | 900,000$ | UFA | ||||||
Daniil Miromanov ![]() | RW/D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Dennis Hildeby ![]() | G | 22 | 843,333$ | 843,333$ | 843,333$ | RFA | |||||
Drake Caggiula ![]() | C/LW | 29 | 950,000$ | 950,000$ | UFA | ||||||
Drew Commesso ![]() | G | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Gianni Fairbrother ![]() | D | 23 | 848,333$ | 848,333$ | RFA | ||||||
Jayson Megna ![]() | C | 33 | 775,000$ | 775,000$ | UFA | ||||||
Jesper Sellgren ![]() | D | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Justin Danforth ![]() | C/RW | 30 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Kyle Keyser ![]() | G | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Louis Belpedio ![]() | D | 27 | 900,000$ | 900,000$ | UFA | ||||||
Lucas Elvenes ![]() | C | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Michael Raffl ![]() | C/LW | 35 | 950,000$ | 950,000$ | UFA | ||||||
Nic Petan ![]() | C/LW/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Nicolas Meloche ![]() | D | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Nikita Novikov ![]() | D | 20 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Rory Kerins ![]() | C | 21 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Rourke Chartier ![]() | C | 27 | 900,000$ | 900,000$ | UFA | ||||||
Sheldon Dries ![]() | C | 29 | 775,000$ | 775,000$ | UFA | ||||||
Tyler Bozak ![]() | C/RW | 37 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Vinni Lettieri ![]() | C | 28 | 900,000$ | 900,000$ | UFA | ||||||
Will Lockwood ![]() | RW | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Wyatt Newpower ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Zac Dalpe ![]() | C | 34 | 800,000$ | 800,000$ | 800,000$ | UFA |
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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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 33 | 14 | 9 | 9 | 1 | 26 | 8 | 4 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 25 | 18 | 22 | 7 | 13 | 7 | 50.0% | 12.1% | 80.8% | 92.9 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 6 | 15 | 11 | 0 | 34 | 15 | 21 | 20 | 6 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 23 | 16 | 24 | 7 | 12 | 6 | 25.0% | 3.1% | 88.2% | 91.4 | Unlucky | |
3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 2 | 1 | 37 | 15 | 7 | 10 | 5 | 25 | 10 | 2 | 15 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 28 | 20 | 21 | 6 | 13 | 7 | 60.0% | 8.1% | 92.0% | 100.1 | DULL | |
4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 46 | 20 | 12 | 9 | 9 | 41 | 5 | 10 | 21 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 29 | 21 | 22 | 6 | 12 | 6 | 66.7% | 4.3% | 97.6% | 101.9 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 13 | 4 | 6 | 0 | 26 | 6 | 6 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 26 | 19 | 20 | 7 | 12 | 6 | 0.0% | 0.0% | 92.3% | 92.3 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 4 | 1 | 1 | 0 | 49 | 19 | 20 | 10 | 0 | 21 | 3 | 4 | 10 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 28 | 22 | 19 | 6 | 12 | 6 | 75.0% | 12.2% | 90.5% | 102.7 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 4 | 1 | 1 | 0 | 29 | 18 | 5 | 6 | 0 | 31 | 4 | 14 | 22 | 4 | 2 | 50.00% | 7 | 1 | 85.71% | 1 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 23 | 16 | 24 | 8 | 11 | 5 | 80.0% | 20.7% | 93.5% | 114.2 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 7 | 14 | 10 | 0 | 30 | 11 | 6 | 20 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 24 | 17 | 23 | 6 | 11 | 6 | 60.0% | 9.7% | 93.3% | 103.0 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 29 | 12 | 11 | 6 | 0 | 26 | 5 | 8 | 18 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 23 | 16 | 24 | 7 | 11 | 5 | 80.0% | 13.8% | 96.2% | 109.9 | LUCKY | |
10 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 1 | 3 | 2 | 3 | 1 | 67 | 21 | 18 | 25 | 3 | 57 | 20 | 6 | 58 | 4 | 1 | 25.00% | 3 | 2 | 33.33% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 49 | 35 | 48 | 13 | 24 | 12 | 80.0% | 13.4% | 93.0% | 106.4 | LUCKY | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 1 | 4 | 0 | 0 | 58 | 18 | 21 | 19 | 0 | 51 | 16 | 18 | 30 | 8 | 1 | 12.50% | 9 | 0 | 100.00% | 2 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 50 | 34 | 44 | 15 | 25 | 12 | 80.0% | 8.6% | 98.0% | 106.7 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 28 | 8 | 9 | 11 | 0 | 24 | 0 | 6 | 23 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 25 | 17 | 20 | 7 | 13 | 6 | 66.7% | 17.9% | 91.7% | 109.5 | LUCKY | |
13 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 14 | 5 | 10 | 3 | 28 | 4 | 6 | 18 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 27 | 19 | 23 | 7 | 13 | 6 | 37.5% | 12.5% | 82.1% | 94.6 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 30 | 6 | 14 | 10 | 0 | 29 | 8 | 6 | 30 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 22 | 14 | 24 | 7 | 12 | 6 | 0.0% | 3.3% | 86.2% | 89.5 | Unlucky | |
15 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 0 | 1 | 37 | 11 | 16 | 9 | 1 | 32 | 14 | 8 | 30 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 23 | 15 | 26 | 6 | 11 | 6 | 100.0% | 5.4% | 96.9% | 102.3 | DULL | |
16 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 31 | 9 | 6 | 16 | 0 | 25 | 6 | 4 | 24 | 6 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 25 | 17 | 23 | 7 | 13 | 6 | 50.0% | 6.5% | 88.0% | 94.5 | Unlucky | |
17 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 13 | -6 | 1 | 0.167 | 7 | 10 | 17 | 1 | 0 | 2 | 3 | 2 | 0 | 101 | 36 | 34 | 30 | 1 | 90 | 15 | 16 | 45 | 12 | 1 | 8.33% | 8 | 3 | 62.50% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 76 | 54 | 70 | 21 | 37 | 19 | 37.5% | 6.9% | 85.6% | 92.5 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 30 | 9 | 8 | 13 | 0 | 27 | 7 | 8 | 15 | 7 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 22 | 16 | 24 | 8 | 12 | 5 | 75.0% | 10.0% | 96.3% | 106.3 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 9 | 8 | 7 | 0 | 37 | 16 | 8 | 18 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 20 | 14 | 27 | 7 | 12 | 5 | 100.0% | 12.5% | 94.6% | 107.1 | LUCKY | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 35 | 7 | 13 | 15 | 0 | 21 | 7 | 4 | 21 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 28 | 20 | 18 | 7 | 12 | 7 | 40.0% | 11.4% | 85.7% | 97.1 | FUN | |
21 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 0 | 4 | 1 | 1 | 47 | 9 | 24 | 10 | 7 | 73 | 28 | 21 | 36 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 43 | 28 | 56 | 16 | 25 | 12 | 33.3% | 12.8% | 89.0% | 101.8 | FUN | |
_Vs Division | 6 | 3 | 1 | 0 | 1 | 0 | 1 | 0 | 24 | 17 | 7 | 10 | 0.833 | 24 | 41 | 65 | 0 | 1 | 6 | 9 | 7 | 2 | 177 | 45 | 64 | 61 | 10 | 175 | 55 | 37 | 138 | 21 | 6 | 28.57% | 15 | 2 | 86.67% | 0 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 146 | 102 | 143 | 44 | 76 | 39 | 54.5% | 13.6% | 90.3% | 103.8 | FUN | |
_Vs Conference | 15 | 6 | 3 | 0 | 1 | 3 | 2 | 0 | 48 | 41 | 7 | 21 | 0.700 | 48 | 78 | 126 | 1 | 2 | 13 | 21 | 11 | 3 | 474 | 154 | 153 | 151 | 23 | 436 | 106 | 99 | 294 | 57 | 9 | 15.79% | 46 | 6 | 86.96% | 2 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 379 | 267 | 354 | 110 | 190 | 98 | 52.7% | 10.1% | 90.6% | 100.7 | FUN | |
_Since Last GM Reset | 26 | 11 | 6 | 0 | 3 | 4 | 2 | 0 | 80 | 68 | 12 | 36 | 0.692 | 80 | 135 | 215 | 1 | 2 | 26 | 29 | 20 | 5 | 829 | 281 | 273 | 252 | 30 | 754 | 208 | 186 | 513 | 95 | 13 | 13.68% | 85 | 13 | 84.71% | 3 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 649 | 458 | 613 | 192 | 327 | 167 | 54.9% | 9.7% | 91.0% | 100.6 | FUN | |
Total | 26 | 11 | 6 | 0 | 3 | 4 | 2 | 0 | 80 | 68 | 12 | 36 | 0.692 | 80 | 135 | 215 | 1 | 2 | 26 | 29 | 20 | 5 | 829 | 281 | 273 | 252 | 30 | 754 | 208 | 186 | 513 | 95 | 13 | 13.68% | 85 | 13 | 84.71% | 3 | 502 | 906 | 55.41% | 473 | 893 | 52.97% | 205 | 376 | 54.52% | 649 | 458 | 613 | 192 | 327 | 167 | 54.9% | 9.7% | 91.0% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 906 |
Neutral Zone Start | 376 |
Defensive Zone Start | 893 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1180 |
Faceoffs Lost | 995 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 21.3 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 32.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 63 |
---|---|
PP Goal | 13 |
PK Goal | 3 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 10 |
Lost | 3 | 3 |
Overtime Lost | 3 | 1 |
PP Attempt | 95 |
---|---|
PP Goal | 13 |
PK Attempt | 85 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 31.9 |
Shots Against | 29.0 |
Goals For | 3.1 |
Goals Against | 2.6 |
Hits | 19.7 |
Shots Blocked | 8.0 |
Pim | 7.2 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-11 | @ | Jets3,Flames2 (OT) | RECAP | |||||||||||
2023-10-14 | @ | Flames3,Penguins2 | RECAP | |||||||||||
2023-10-16 | @ | Flames3,Capitals2 | RECAP | |||||||||||
2023-10-19 | @ | Flames1,Sabres4 | RECAP | |||||||||||
2023-10-20 | @ | Flames2,Blue Jackets1 (OT) | RECAP | |||||||||||
2023-10-22 | @ | Flames6,Red Wings2 | RECAP | |||||||||||
2023-10-24 | @ | Rangers2,Flames0 | RECAP | |||||||||||
2023-10-26 | @ | Blues5,Flames4 (OT) | RECAP | |||||||||||
2023-10-29 | @ | Flames5,Oilers2 | RECAP | |||||||||||
2023-11-01 | @ | Stars4,Flames3 (OT) | RECAP | |||||||||||
2023-11-04 | @ | Flames4,Kraken3 (SO) | RECAP | |||||||||||
2023-11-07 | @ | Predators1,Flames4 | RECAP | |||||||||||
2023-11-10 | @ | Flames3,Maple Leafs1 | RECAP | |||||||||||
2023-11-11 | @ | Flames4,Senators5 (OT) | RECAP | |||||||||||
2023-11-14 | @ | Flames6,Canadiens2 | RECAP | |||||||||||
2023-11-16 | @ | Canucks4,Flames5 (OT) | RECAP | |||||||||||
2023-11-18 | @ | Islanders4,Flames1 | RECAP | |||||||||||
2023-11-20 | @ | Flames2,Kraken5 | RECAP | |||||||||||
2023-11-22 | @ | Flames1,Predators0 | RECAP | |||||||||||
2023-11-24 | @ | Flames2,Stars5 | RECAP | |||||||||||
2023-11-25 | @ | Flames2,Avalanche1 (SO) | RECAP | |||||||||||
2023-11-27 | @ | Golden Knights3,Flames4 | RECAP | |||||||||||
2023-11-30 | @ | Stars4,Flames2 | RECAP | |||||||||||
2023-12-02 | @ | Canucks0,Flames4 | RECAP | |||||||||||
2023-12-05 | @ | Wild1,Flames4 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,400,000$ | 0$ | 77,122,672$ | 5,100,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Scotiabank Saddledome | |
City | Calgary | ||
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 | 69373 | 56177 | 22763 | 46931 | 11209 |
Attendance PCT | 96.35% | 93.63% | 94.85% | 97.77% | 93.41% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 17204 - 95.58% | 1,512,469$ | 18,149,624$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,400,000$ | 78,400,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,785,176$ | 401,823$ | 24,082,036$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
43,861,591$ | 132 | 413,542$ | 54,587,544$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
57,123,654$ | 78,400,000$ | 11,326,948$ | -1,935,115$ |
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 | Ronde 8 |
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2024 | ||||||||
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Priority | Type | Description |
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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. |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aatu Jamsen | |||||
Alex Khokhlachev | 6.5 - 3.5 | ||||
Alex Pharand | 2023 | 121 | |||
Anatoli Golyshev | 6.0 - 2.5 | ||||
Charles Beaudoin | 2020 | 151 | |||
Eric Hjorth | 2019 | 119 | 3.0 - 3.0 | ||
George Fegaras | 2022 | 100 | |||
Guillaume Richard | 2021 | 116 | |||
Gustav Berglund | 2019 | 181 | |||
Ilya Ivantsov | 2021 | 179 | |||
Juuso Maenpaa | 2020 | 84 | |||
Kalle Vaisanen | 2021 | 91 | |||
Mackade Webster | 2019 | 212 | |||
Matias Rajaniemi | 2020 | 135 | |||
Nate Schweitzer | 2020 | 154 | |||
Oskar Magnusson | 2020 | 87 | |||
Reid Valade | 2020 | 195 | |||
Tucker Tynan | 2020 | 143 |
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