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Full Scoreboard »» |
Calgary Flames 10-10-2, 22pts · 6th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 76 | 45 | 91 | 92 | 82 | 85 | 91 | 91 | 93 | 86 | 95 | 68 | 70 | 71 | 73 | 87 | 50 | 0 | 25 | 11,634,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 41 | 96 | 84 | 74 | 75 | 77 | 74 | 92 | 73 | 70 | 84 | 63 | 69 | 69 | 75 | 50 | 0 | 26 | 4,450,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 65 | 41 | 87 | 80 | 67 | 74 | 98 | 78 | 42 | 83 | 75 | 63 | 65 | 82 | 85 | 76 | 50 | 0 | 32 | 5,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 42 | 89 | 79 | 71 | 78 | 77 | 82 | 86 | 71 | 85 | 79 | 41 | 79 | 79 | 80 | 50 | 0 | 32 | 5,825,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 58 | 87 | 74 | 76 | 62 | 92 | 80 | 48 | 74 | 70 | 60 | 25 | 63 | 63 | 72 | 50 | 0 | 29 | 762,500$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 53 | 86 | 77 | 66 | 68 | 99 | 59 | 30 | 66 | 60 | 84 | 25 | 63 | 65 | 70 | 50 | 0 | 26 | 1,050,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 44 | 83 | 80 | 80 | 73 | 84 | 87 | 99 | 74 | 73 | 63 | 63 | 79 | 82 | 74 | 50 | 0 | 30 | 8,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 41 | 91 | 80 | 64 | 56 | 73 | 59 | 25 | 61 | 71 | 60 | 25 | 61 | 61 | 68 | 50 | 0 | 25 | 1,550,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 83 | 75 | 84 | 76 | 74 | 68 | 80 | 65 | 78 | 66 | 70 | 80 | 25 | 63 | 63 | 73 | 50 | 0 | 27 | 1,150,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 81 | 44 | 86 | 77 | 73 | 54 | 86 | 55 | 77 | 59 | 57 | 72 | 25 | 65 | 65 | 64 | 50 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 78 | 44 | 88 | 79 | 77 | 74 | 89 | 75 | 82 | 70 | 73 | 81 | 61 | 64 | 66 | 76 | 50 | 0 | 25 | 3,000,000$/5yrs | |||
![]() | 0 | LW | 100.00 | 83 | 76 | 71 | 76 | 67 | 59 | 86 | 59 | 45 | 60 | 68 | 69 | 25 | 61 | 62 | 69 | 50 | 0 | 27 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 52 | 78 | 86 | 66 | 76 | 81 | 81 | 25 | 68 | 51 | 66 | 53 | 75 | 80 | 65 | 50 | 0 | 31 | 6,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 78 | 59 | 76 | 63 | 81 | 63 | 75 | 58 | 25 | 51 | 47 | 83 | 25 | 47 | 47 | 60 | 50 | 0 | 26 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 45 | 89 | 74 | 81 | 78 | 96 | 58 | 25 | 46 | 47 | 88 | 61 | 88 | 89 | 63 | 50 | 0 | 35 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 44 | 89 | 83 | 71 | 92 | 90 | 75 | 25 | 73 | 50 | 89 | 75 | 68 | 71 | 71 | 50 | 0 | 28 | 4,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 93 | 82 | 76 | 77 | 89 | 60 | 25 | 56 | 49 | 83 | 25 | 72 | 73 | 65 | 50 | 0 | 28 | 2,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 55 | 78 | 74 | 82 | 78 | 94 | 61 | 25 | 53 | 48 | 92 | 25 | 78 | 83 | 65 | 50 | 0 | 33 | 3,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 65 | 43 | 86 | 73 | 78 | 54 | 78 | 57 | 75 | 56 | 57 | 66 | 25 | 55 | 56 | 61 | 50 | 0 | 29 | 762,500$/2yrs | |||
![]() | 0 | C | 100.00 | 76 | 70 | 90 | 67 | 70 | 71 | 76 | 55 | 69 | 49 | 56 | 63 | 53 | 44 | 44 | 60 | 50 | 0 | 25 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 53 | 79 | 79 | 72 | 72 | 88 | 60 | 42 | 71 | 70 | 79 | 25 | 72 | 74 | 73 | 50 | 0 | 30 | 1,800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 53 | 86 | 68 | 70 | 64 | 86 | 55 | 25 | 49 | 49 | 74 | 25 | 60 | 60 | 61 | 50 | 0 | 26 | 762,500$/2yrs | |||
TEAM AVERAGE | 100.00 | 74 | 51 | 86 | 77 | 74 | 71 | 86 | 67 | 53 | 64 | 63 | 75 | 41 | 67 | 69 | 69 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 63 | 53 | 56 | 65 | 65 | 61 | 84 | 65 | 71 | 63 | 83 | 74 | 76 | 66 | 50 | 0 | 37 | 1,500,000$/1yrs |
![]() | 0 | 99.00 | 76 | 80 | 77 | 71 | 77 | 76 | 83 | 77 | 77 | 76 | 86 | 62 | 63 | 77 | 50 | 0 | 24 | 3,979,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 70 | 67 | 67 | 68 | 71 | 69 | 84 | 71 | 74 | 70 | 85 | 68 | 70 | 72 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 67 | 41 | 85 | 63 | 63 | 57 | 80 | 59 | 63 | 67 | 66 | 63 | 25 | 47 | 47 | 66 | 57 | 0 | 23 | 827,500$/1yrs | |||
![]() | 0 | RW | 100.00 | 75 | 70 | 86 | 67 | 70 | 67 | 70 | 56 | 50 | 53 | 54 | 63 | 51 | 45 | 45 | 60 | 57 | 0 | 24 | 775,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 46 | 88 | 70 | 93 | 62 | 64 | 70 | 32 | 62 | 75 | 64 | 25 | 45 | 45 | 70 | 57 | 0 | 21 | 925,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 84 | 89 | 56 | 63 | 64 | 50 | 75 | 54 | 34 | 50 | 58 | 67 | 25 | 45 | 45 | 60 | 57 | 0 | 23 | 817,500$/2yrs | |||
![]() | 0 | C | 100.00 | 65 | 53 | 93 | 63 | 53 | 80 | 83 | 70 | 80 | 65 | 71 | 61 | 67 | 44 | 44 | 69 | 57 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 80 | 70 | 73 | 85 | 63 | 59 | 55 | 25 | 49 | 48 | 79 | 25 | 57 | 58 | 61 | 57 | 0 | 24 | 900,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Daniel Boulet |
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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 | Auston Matthews | 0 | C | 22 | 13 | 12 | 25 | -7 | 0 | 0 | 35 | 98 | 31 | 57 | 13.27% | 6 | 20.47 | 5 | 5 | 10 | 56 | 0 | 0 | 0 | 18 | 1 | 1 | 55.28% | 568 | 22 | 11 | 0 | 0 | 1.11 | 0 | 0 | ||
2 | Ryan Johansen | 0 | C/RW | 22 | 7 | 15 | 22 | -3 | 17 | 5 | 32 | 97 | 27 | 46 | 7.22% | 10 | 17.87 | 0 | 6 | 6 | 56 | 1 | 0 | 1 | 31 | 2 | 0 | 59.78% | 276 | 19 | 7 | 0 | 0 | 1.12 | 1 | 1 | ||
3 | Adam Henrique | 0 | C/LW | 22 | 10 | 8 | 18 | -4 | 4 | 0 | 18 | 79 | 25 | 54 | 12.66% | 4 | 15.70 | 5 | 3 | 8 | 56 | 0 | 0 | 0 | 1 | 0 | 1 | 52.94% | 17 | 17 | 6 | 0 | 0 | 1.04 | 0 | 0 | ||
4 | Stefan Noesen | 0 | LW/RW | 22 | 7 | 9 | 16 | 14 | 2 | 0 | 20 | 52 | 18 | 50 | 13.46% | 7 | 11.83 | 0 | 0 | 0 | 3 | 1 | 0 | 1 | 47 | 1 | 0 | 0.00% | 9 | 11 | 5 | 0 | 0 | 1.23 | 0 | 1 | ||
5 | Christian Dvorak | 0 | C/LW | 22 | 4 | 8 | 12 | -6 | 2 | 0 | 12 | 54 | 23 | 36 | 7.41% | 9 | 19.08 | 2 | 0 | 2 | 36 | 0 | 0 | 0 | 20 | 0 | 2 | 58.54% | 41 | 5 | 6 | 0 | 0 | 0.57 | 0 | 0 | ||
6 | Torey Krug | 0 | D | 22 | 1 | 10 | 11 | -5 | 32 | 0 | 27 | 42 | 23 | 20 | 2.38% | 33 | 26.43 | 0 | 1 | 1 | 59 | 0 | 1 | 1 | 39 | 0 | 0 | 0.00% | 1 | 9 | 13 | 0 | 0 | 0.38 | 0 | 0 | ||
7 | Jordan Eberle | 0 | RW | 22 | 4 | 7 | 11 | -9 | 16 | 0 | 29 | 59 | 20 | 31 | 6.78% | 9 | 16.40 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 24 | 15 | 9 | 0 | 0 | 0.61 | 0 | 0 | ||
8 | Nicolas Roy | 0 | C/RW | 22 | 5 | 6 | 11 | -4 | 4 | 0 | 30 | 44 | 12 | 30 | 11.36% | 9 | 15.14 | 0 | 2 | 2 | 36 | 0 | 0 | 0 | 0 | 1 | 0 | 46.15% | 13 | 15 | 9 | 0 | 0 | 0.66 | 0 | 0 | ||
9 | Devon Toews | 0 | D | 22 | 2 | 8 | 10 | -1 | 9 | 5 | 37 | 51 | 18 | 24 | 3.92% | 36 | 26.10 | 0 | 1 | 1 | 57 | 0 | 1 | 1 | 43 | 1 | 0 | 0.00% | 0 | 9 | 19 | 0 | 0 | 0.35 | 0 | 0 | ||
10 | Sam Lafferty | 0 | C/LW/RW | 22 | 3 | 7 | 10 | -1 | 13 | 5 | 27 | 39 | 14 | 34 | 7.69% | 9 | 14.06 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 47 | 1 | 0 | 52.00% | 250 | 7 | 8 | 0 | 0 | 0.65 | 0 | 1 | ||
11 | Ryan Carpenter | 0 | C/RW | 22 | 4 | 4 | 8 | 12 | 10 | 10 | 17 | 13 | 5 | 7 | 30.77% | 4 | 9.55 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 56.38% | 94 | 2 | 7 | 0 | 0 | 0.76 | 0 | 0 | ||
12 | Jack Johnson | 0 | D | 22 | 2 | 5 | 7 | -2 | 4 | 0 | 22 | 8 | 6 | 5 | 25.00% | 21 | 19.17 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 13 | 0 | 0 | 0.33 | 0 | 0 | ||
13 | Logan O'Connor | 0 | LW/RW | 22 | 4 | 3 | 7 | -3 | 4 | 0 | 39 | 40 | 8 | 26 | 10.00% | 5 | 14.53 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 19 | 1 | 0 | 25.00% | 8 | 4 | 5 | 0 | 0 | 0.44 | 0 | 1 | ||
14 | Rudolfs Balcers | 0 | LW/RW | 22 | 4 | 2 | 6 | 6 | 0 | 0 | 12 | 35 | 12 | 18 | 11.43% | 6 | 10.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 5 | 4 | 6 | 0 | 0 | 0.51 | 0 | 1 | ||
15 | Ian Cole | 0 | D | 22 | 0 | 5 | 5 | 4 | 15 | 5 | 23 | 11 | 7 | 5 | 0.00% | 20 | 14.07 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 11 | 0 | 0 | 0.32 | 0 | 0 | ||
16 | Ryan Lomberg | 0 | LW | 22 | 2 | 3 | 5 | 2 | 32 | 10 | 29 | 19 | 9 | 12 | 10.53% | 2 | 10.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 2 | 4 | 0 | 0 | 0.42 | 0 | 0 | ||
17 | Vincent Desharnais | 0 | D | 22 | 0 | 4 | 4 | 6 | 18 | 10 | 16 | 23 | 6 | 5 | 0.00% | 20 | 16.99 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 17 | 0 | 0 | 0.21 | 0 | 0 | ||
18 | Olli Maatta | 0 | D | 22 | 0 | 2 | 2 | -3 | 4 | 0 | 16 | 16 | 8 | 8 | 0.00% | 22 | 18.04 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 3 | 17 | 0 | 0 | 0.10 | 0 | 0 | ||
Team Total or Average | 396 | 72 | 118 | 190 | -4 | 186 | 50 | 441 | 780 | 272 | 468 | 9.23% | 232 | 16.50 | 12 | 19 | 31 | 486 | 2 | 3 | 5 | 373 | 9 | 4 | 54.19% | 1314 | 144 | 173 | 0 | 0 | 0.58 | 1 | 5 |
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 | Carter Hart | 17 | 8 | 6 | 2 | 0.901 | 3.13 | 958 | 0 | 0 | 50 | 505 | 263 | 2 | 1 | 1.000 | 5 | 16 | 6 | 1 | 1 | 1 | |
2 | Jaroslav Halak | 7 | 2 | 4 | 0 | 0.877 | 4.25 | 367 | 0 | 0 | 26 | 212 | 124 | 0 | 0 | 0.000 | 0 | 6 | 16 | 0 | 0 | 0 | |
Team Total or Average | 24 | 10 | 10 | 2 | 0.894 | 3.44 | 1325 | 0 | 0 | 76 | 717 | 387 | 2 | 1 | 1.000 | 5 | 22 | 22 | 1 | 1 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 2 | 1 | 40 | 14 | 8 | 18 | 5 | 35 | 13 | 8 | 21 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 24 | 15 | 21 | 9 | 18 | 8 | 57.1% | 10.0% | 91.4% | 101.4 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 39 | 8 | 12 | 19 | 0 | 31 | 10 | 6 | 15 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 20 | 11 | 22 | 8 | 17 | 8 | 33.3% | 5.1% | 90.3% | 95.5 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 4 | 1 | 0 | 41 | 8 | 22 | 11 | 0 | 35 | 7 | 4 | 28 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 21 | 12 | 20 | 8 | 18 | 8 | 66.7% | 12.2% | 91.4% | 103.6 | LUCKY | |
4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 1 | 0.500 | 7 | 12 | 19 | 0 | 0 | 0 | 4 | 3 | 0 | 35 | 5 | 20 | 10 | 0 | 37 | 6 | 12 | 25 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 18 | 9 | 24 | 10 | 19 | 8 | 53.8% | 20.0% | 78.4% | 98.4 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 40 | 12 | 16 | 12 | 0 | 40 | 12 | 7 | 11 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 23 | 14 | 19 | 7 | 17 | 9 | 50.0% | 7.5% | 90.0% | 97.5 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 9 | 9 | 6 | 0 | 42 | 10 | 8 | 29 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 19 | 9 | 22 | 9 | 18 | 9 | 40.0% | 8.3% | 90.5% | 98.8 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 30 | 11 | 13 | 6 | 0 | 21 | 13 | 16 | 18 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 23 | 14 | 17 | 8 | 18 | 10 | 83.3% | 20.0% | 90.5% | 110.5 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 35 | 7 | 18 | 10 | 0 | 34 | 7 | 6 | 28 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 1 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 24 | 14 | 18 | 8 | 16 | 8 | 50.0% | 8.6% | 94.1% | 102.7 | DULL | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 75 | 29 | 26 | 20 | 0 | 64 | 27 | 29 | 28 | 2 | 1 | 50.00% | 7 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 44 | 27 | 43 | 16 | 31 | 15 | 25.0% | 5.3% | 85.9% | 91.3 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 25 | 9 | 9 | 7 | 0 | 37 | 15 | 2 | 17 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 20 | 12 | 22 | 8 | 16 | 8 | 25.0% | 4.0% | 91.9% | 95.9 | DULL | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 1 | 5 | 2 | 0 | 77 | 14 | 22 | 41 | 0 | 62 | 21 | 29 | 30 | 4 | 2 | 50.00% | 7 | 3 | 57.14% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 44 | 28 | 43 | 17 | 31 | 14 | 60.0% | 10.4% | 88.7% | 99.1 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 8 | 13 | 13 | 0 | 27 | 6 | 13 | 18 | 1 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 21 | 13 | 21 | 8 | 17 | 7 | 20.0% | 2.9% | 74.1% | 77.0 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 30 | 4 | 18 | 8 | 0 | 34 | 11 | 10 | 32 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 20 | 10 | 20 | 9 | 18 | 9 | 62.5% | 16.7% | 88.2% | 104.9 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 0 | 4 | 0 | 39 | 15 | 10 | 14 | 0 | 27 | 8 | 6 | 23 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 22 | 13 | 20 | 8 | 17 | 8 | 60.0% | 12.8% | 92.6% | 105.4 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 12 | 10 | 11 | 0 | 40 | 4 | 0 | 19 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 22 | 13 | 20 | 7 | 16 | 9 | 16.7% | 3.0% | 87.5% | 90.5 | Unlucky | |
16 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 9 | 17 | 10 | 2 | 23 | 13 | 8 | 19 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 22 | 12 | 19 | 10 | 19 | 9 | 40.0% | 5.3% | 87.0% | 92.2 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 29 | 9 | 4 | 16 | 0 | 29 | 10 | 0 | 15 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 21 | 12 | 22 | 8 | 16 | 9 | 60.0% | 10.3% | 93.1% | 103.4 | LUCKY | |
18 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 37 | 16 | 6 | 13 | 2 | 40 | 10 | 6 | 22 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 23 | 13 | 20 | 8 | 17 | 8 | 100.0% | 8.1% | 95.0% | 103.1 | DULL | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 4 | 3 | 1 | 0 | 79 | 19 | 37 | 23 | 0 | 60 | 29 | 16 | 43 | 8 | 3 | 37.50% | 3 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 44 | 26 | 41 | 17 | 34 | 17 | 55.6% | 10.1% | 93.3% | 103.5 | LUCKY | |
_Vs Division | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 22 | 12 | 10 | 8 | 0.800 | 22 | 38 | 60 | 0 | 0 | 9 | 8 | 4 | 1 | 176 | 50 | 74 | 50 | 2 | 155 | 63 | 48 | 115 | 15 | 4 | 26.67% | 14 | 4 | 71.43% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 111 | 65 | 100 | 43 | 89 | 46 | 69.2% | 12.5% | 92.3% | 104.8 | LUCKY | |
_Vs Conference | 12 | 4 | 6 | 0 | 1 | 1 | 0 | 0 | 45 | 47 | -2 | 11 | 0.458 | 45 | 76 | 121 | 0 | 0 | 14 | 20 | 10 | 1 | 437 | 118 | 171 | 146 | 2 | 385 | 135 | 138 | 227 | 26 | 7 | 26.92% | 39 | 13 | 66.67% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 263 | 158 | 253 | 104 | 206 | 102 | 52.8% | 10.3% | 87.8% | 98.1 | FUN | |
_Since Last GM Reset | 22 | 8 | 10 | 0 | 1 | 2 | 1 | 0 | 73 | 77 | -4 | 22 | 0.500 | 73 | 118 | 191 | 1 | 0 | 17 | 28 | 26 | 2 | 780 | 218 | 290 | 268 | 9 | 718 | 232 | 186 | 441 | 59 | 12 | 20.34% | 63 | 16 | 74.60% | 2 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 483 | 287 | 463 | 192 | 382 | 191 | 50.0% | 9.4% | 89.3% | 98.6 | FUN | |
Total | 22 | 8 | 10 | 0 | 1 | 2 | 1 | 0 | 73 | 77 | -4 | 22 | 0.500 | 73 | 118 | 191 | 1 | 0 | 17 | 28 | 26 | 2 | 780 | 218 | 290 | 268 | 9 | 718 | 232 | 186 | 441 | 59 | 12 | 20.34% | 63 | 16 | 74.60% | 2 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 483 | 287 | 463 | 192 | 382 | 191 | 50.0% | 9.4% | 89.3% | 98.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 515 |
Neutral Zone Start | 341 |
Defensive Zone Start | 451 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 712 |
Faceoffs Lost | 595 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 35.3 | 30.68 |
Overtime | 35.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 58 |
---|---|
PP Goal | 12 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 8 |
Lost | 5 | 5 |
Overtime Lost | 1 | 1 |
PP Attempt | 59 |
---|---|
PP Goal | 12 |
PK Attempt | 63 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 35.5 |
Shots Against | 32.6 |
Goals For | 3.3 |
Goals Against | 3.5 |
Hits | 20.0 |
Shots Blocked | 10.5 |
Pim | 8.5 |
Projected Total Cap Hit | 73,913,000$ |
Projected Cap Space | 8,587,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 19,248,200$ |
Players In Salary Cap | 24 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Henrique ![]() | C/LW | 32 | 5,825,000$ | 5,825,000$ | 5,825,000$ | ||||||
Auston Matthews ![]() | C | 25 | 11,634,000$ | 11,634,000$ | 11,634,000$ | ||||||
Carter Hart ![]() | G | 24 | 3,979,000$ | 3,979,000$ | 3,979,000$ | ||||||
Christian Dvorak ![]() | C/LW | 26 | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | |||||
Devon Toews ![]() | D | 28 | 4,100,000$ | 4,100,000$ | 4,100,000$ | ||||||
Ian Cole ![]() | D | 33 | 3,000,000$ | 3,000,000$ | |||||||
Jack Johnson ![]() | D | 35 | 3,250,000$ | 3,250,000$ | |||||||
Jackson Cates ![]() | C | 25 | 775,000$ | 775,000$ | |||||||
Jalen Chatfield ![]() | D | 26 | 762,500$ | 762,500$ | 762,500$ | ||||||
Jaroslav Halak ![]() | G | 37 | 1,500,000$ | 1,500,000$ | |||||||
Jonny Brodzinski ![]() | C | 29 | 762,500$ | 762,500$ | 762,500$ | ||||||
Jordan Eberle ![]() | RW | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||||
Jordan Martinook ![]() | LW/RW | 30 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Logan O'Connor ![]() | LW/RW | 26 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | |||||
Nicolas Roy ![]() | C/RW | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||
Olli Maatta ![]() | D | 28 | 2,250,000$ | 2,250,000$ | |||||||
Rudolfs Balcers ![]() | LW/RW | 25 | 1,550,000$ | 1,550,000$ | |||||||
Ryan Carpenter ![]() | C/RW | 31 | 750,000$ | 750,000$ | |||||||
Ryan Johansen ![]() | C/RW | 30 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||||
Ryan Lomberg ![]() | LW | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Sam Lafferty ![]() | C/LW/RW | 27 | 1,150,000$ | 1,150,000$ | 1,150,000$ | ||||||
Stefan Noesen ![]() | LW/RW | 29 | 762,500$ | 762,500$ | 762,500$ | ||||||
Torey Krug ![]() | D | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||
Vincent Desharnais ![]() | D | 26 | 762,500$ | 762,500$ | 762,500$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 2 | 1 | 40 | 14 | 8 | 18 | 5 | 35 | 13 | 8 | 21 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 24 | 15 | 21 | 9 | 18 | 8 | 57.1% | 10.0% | 91.4% | 101.4 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 39 | 8 | 12 | 19 | 0 | 31 | 10 | 6 | 15 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 20 | 11 | 22 | 8 | 17 | 8 | 33.3% | 5.1% | 90.3% | 95.5 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 4 | 1 | 0 | 41 | 8 | 22 | 11 | 0 | 35 | 7 | 4 | 28 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 21 | 12 | 20 | 8 | 18 | 8 | 66.7% | 12.2% | 91.4% | 103.6 | LUCKY | |
4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 1 | 0.500 | 7 | 12 | 19 | 0 | 0 | 0 | 4 | 3 | 0 | 35 | 5 | 20 | 10 | 0 | 37 | 6 | 12 | 25 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 18 | 9 | 24 | 10 | 19 | 8 | 53.8% | 20.0% | 78.4% | 98.4 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 40 | 12 | 16 | 12 | 0 | 40 | 12 | 7 | 11 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 23 | 14 | 19 | 7 | 17 | 9 | 50.0% | 7.5% | 90.0% | 97.5 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 9 | 9 | 6 | 0 | 42 | 10 | 8 | 29 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 19 | 9 | 22 | 9 | 18 | 9 | 40.0% | 8.3% | 90.5% | 98.8 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 30 | 11 | 13 | 6 | 0 | 21 | 13 | 16 | 18 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 23 | 14 | 17 | 8 | 18 | 10 | 83.3% | 20.0% | 90.5% | 110.5 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 35 | 7 | 18 | 10 | 0 | 34 | 7 | 6 | 28 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 1 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 24 | 14 | 18 | 8 | 16 | 8 | 50.0% | 8.6% | 94.1% | 102.7 | DULL | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 75 | 29 | 26 | 20 | 0 | 64 | 27 | 29 | 28 | 2 | 1 | 50.00% | 7 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 44 | 27 | 43 | 16 | 31 | 15 | 25.0% | 5.3% | 85.9% | 91.3 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 25 | 9 | 9 | 7 | 0 | 37 | 15 | 2 | 17 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 20 | 12 | 22 | 8 | 16 | 8 | 25.0% | 4.0% | 91.9% | 95.9 | DULL | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 1 | 5 | 2 | 0 | 77 | 14 | 22 | 41 | 0 | 62 | 21 | 29 | 30 | 4 | 2 | 50.00% | 7 | 3 | 57.14% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 44 | 28 | 43 | 17 | 31 | 14 | 60.0% | 10.4% | 88.7% | 99.1 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 8 | 13 | 13 | 0 | 27 | 6 | 13 | 18 | 1 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 21 | 13 | 21 | 8 | 17 | 7 | 20.0% | 2.9% | 74.1% | 77.0 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 30 | 4 | 18 | 8 | 0 | 34 | 11 | 10 | 32 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 20 | 10 | 20 | 9 | 18 | 9 | 62.5% | 16.7% | 88.2% | 104.9 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 0 | 4 | 0 | 39 | 15 | 10 | 14 | 0 | 27 | 8 | 6 | 23 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 22 | 13 | 20 | 8 | 17 | 8 | 60.0% | 12.8% | 92.6% | 105.4 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 12 | 10 | 11 | 0 | 40 | 4 | 0 | 19 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 22 | 13 | 20 | 7 | 16 | 9 | 16.7% | 3.0% | 87.5% | 90.5 | Unlucky | |
16 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 9 | 17 | 10 | 2 | 23 | 13 | 8 | 19 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 22 | 12 | 19 | 10 | 19 | 9 | 40.0% | 5.3% | 87.0% | 92.2 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 29 | 9 | 4 | 16 | 0 | 29 | 10 | 0 | 15 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 21 | 12 | 22 | 8 | 16 | 9 | 60.0% | 10.3% | 93.1% | 103.4 | LUCKY | |
18 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 37 | 16 | 6 | 13 | 2 | 40 | 10 | 6 | 22 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 23 | 13 | 20 | 8 | 17 | 8 | 100.0% | 8.1% | 95.0% | 103.1 | DULL | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 4 | 3 | 1 | 0 | 79 | 19 | 37 | 23 | 0 | 60 | 29 | 16 | 43 | 8 | 3 | 37.50% | 3 | 0 | 100.00% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 44 | 26 | 41 | 17 | 34 | 17 | 55.6% | 10.1% | 93.3% | 103.5 | LUCKY | |
_Vs Division | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 22 | 12 | 10 | 8 | 0.800 | 22 | 38 | 60 | 0 | 0 | 9 | 8 | 4 | 1 | 176 | 50 | 74 | 50 | 2 | 155 | 63 | 48 | 115 | 15 | 4 | 26.67% | 14 | 4 | 71.43% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 111 | 65 | 100 | 43 | 89 | 46 | 69.2% | 12.5% | 92.3% | 104.8 | LUCKY | |
_Vs Conference | 12 | 4 | 6 | 0 | 1 | 1 | 0 | 0 | 45 | 47 | -2 | 11 | 0.458 | 45 | 76 | 121 | 0 | 0 | 14 | 20 | 10 | 1 | 437 | 118 | 171 | 146 | 2 | 385 | 135 | 138 | 227 | 26 | 7 | 26.92% | 39 | 13 | 66.67% | 0 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 263 | 158 | 253 | 104 | 206 | 102 | 52.8% | 10.3% | 87.8% | 98.1 | FUN | |
_Since Last GM Reset | 22 | 8 | 10 | 0 | 1 | 2 | 1 | 0 | 73 | 77 | -4 | 22 | 0.500 | 73 | 118 | 191 | 1 | 0 | 17 | 28 | 26 | 2 | 780 | 218 | 290 | 268 | 9 | 718 | 232 | 186 | 441 | 59 | 12 | 20.34% | 63 | 16 | 74.60% | 2 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 483 | 287 | 463 | 192 | 382 | 191 | 50.0% | 9.4% | 89.3% | 98.6 | FUN | |
Total | 22 | 8 | 10 | 0 | 1 | 2 | 1 | 0 | 73 | 77 | -4 | 22 | 0.500 | 73 | 118 | 191 | 1 | 0 | 17 | 28 | 26 | 2 | 780 | 218 | 290 | 268 | 9 | 718 | 232 | 186 | 441 | 59 | 12 | 20.34% | 63 | 16 | 74.60% | 2 | 284 | 515 | 55.15% | 224 | 451 | 49.67% | 204 | 341 | 59.82% | 483 | 287 | 463 | 192 | 382 | 191 | 50.0% | 9.4% | 89.3% | 98.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 515 |
Neutral Zone Start | 341 |
Defensive Zone Start | 451 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 712 |
Faceoffs Lost | 595 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 35.3 | 30.68 |
Overtime | 35.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 58 |
---|---|
PP Goal | 12 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 8 |
Lost | 5 | 5 |
Overtime Lost | 1 | 1 |
PP Attempt | 59 |
---|---|
PP Goal | 12 |
PK Attempt | 63 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 35.5 |
Shots Against | 32.6 |
Goals For | 3.3 |
Goals Against | 3.5 |
Hits | 20.0 |
Shots Blocked | 10.5 |
Pim | 8.5 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-07 | @ | Jets7,Flames1 | RECAP | ||
2023-10-10 | @ | Flames1,Penguins3 | RECAP | ||
2023-10-12 | @ | Flames2,Capitals4 | RECAP | ||
2023-10-15 | @ | Flames5,Sabres2 | RECAP | ||
2023-10-16 | @ | Flames2,Blue Jackets3 (OT) | RECAP | ||
2023-10-18 | @ | Flames5,Red Wings3 | RECAP | ||
2023-10-20 | @ | Rangers5,Flames1 | RECAP | ||
2023-10-22 | @ | Blues8,Flames7 (OT) | RECAP | ||
2023-10-25 | @ | Flames5,Oilers4 | RECAP | ||
2023-10-28 | @ | Stars4,Flames2 | RECAP | ||
2023-10-31 | @ | Flames2,Kraken3 | RECAP | ||
2023-11-03 | @ | Predators3,Flames2 | RECAP | ||
2023-11-06 | @ | Flames3,Maple Leafs2 | RECAP | ||
2023-11-07 | @ | Flames3,Senators2 | RECAP | ||
2023-11-10 | @ | Flames4,Canadiens3 (SO) | RECAP | ||
2023-11-12 | @ | Canucks2,Flames6 | RECAP | ||
2023-11-14 | @ | Islanders3,Flames2 | RECAP | ||
2023-11-16 | @ | Flames6,Kraken1 | RECAP | ||
2023-11-18 | @ | Flames6,Predators4 | RECAP | ||
2023-11-20 | @ | Flames2,Stars5 | RECAP | ||
2023-11-21 | @ | Flames3,Avalanche4 | RECAP | ||
2023-11-23 | @ | Golden Knights2,Flames3 (OT) | RECAP | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,913,000$ | 0$ | 73,913,000$ | 8,587,000$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 43911 | 37494 | 14631 | 29956 | 7474 |
Attendance PCT | 91.48% | 93.74% | 91.44% | 93.61% | 93.43% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
33 | 16683 - 92.68% | 599,028$ | 4,792,227$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,913,000$ | 73,913,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
19,248,200$ | 73,913,000$ | 19,248,200$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
19,767,936$ | 142 | 384,964$ | 54,664,888$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
57,723,847$ | 73,913,000$ | -518,944,014$ | -556,899,925$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
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2028 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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 ) |
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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. |
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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 |
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1 ballo cal 2023 | |||||
Ben McCartney | |||||
Brady Cleveland | 2023 | 58 | |||
Cedric Paquette | Link | ||||
Colby Ambrosio | 2020 | 124 | |||
Declan Chisholm | Link | ||||
Dennis Good Bogg | 2023 | 218 | |||
Donovan Sebrango | 2020 | 53 | |||
Dustin Brown | Link | ||||
Gavin Hayes | 2022 | 68 | |||
Henry Rybinski | 2019 | 145 | |||
Hudson Malinoski | 2023 | 161 | |||
Isaiah Saville | 2019 | 114 | |||
Jack Smith | 2020 | 115 | |||
Jake Chiasson | 2021 | 122 | |||
Jake Karabela | 2022 | 158 | |||
Jake Richard | 2022 | 180 | |||
Jakub Skarek | 2018 | 62 | |||
James Neal | Link | ||||
Joaquim Lemay | 2021 | 127 | |||
Jorian Donovan | |||||
Louis Domingue | Link | ||||
Nikola Pasic | 2019 | 193 | |||
Olof Lindbom | 2018 | 31 | |||
Paul Ludwinski | 2022 | 52 | |||
Pavel Novak | 2020 | 146 | |||
Quinton Burns | 2023 | 90 | |||
Reilly Walsh | Link | ||||
Roddy Ross | 2019 | 176 | |||
Ronan Seeley | 2020 | 208 | |||
Samuel Johannesson | 2020 | 177 | |||
Samuel Sjolund | 2019 | 122 | |||
Tanner Dickinson | 2020 | 126 | |||
Theo Jacobsson | 2021 | 186 | |||
Trey Augustine | 2023 | 26 | |||
Tyson Dyck | 2022 | 212 | |||
Tyson Galloway | 2021 | 154 | |||
Tyson Jugnauth | 2022 | 116 | |||
Valtteri Puustinen | Link | ||||
Victor Berglund |
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