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Full Scoreboard ยป |
Calgary Flames 45-25-10, 100pts · 3rd in Western Conference |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 55 | 14 | 86 | 98 | 75 | 99 | 95 | 99 | 82 | 97 | 95 | 43 | 84 | 70 | 71 | 85 | 45 | 81 | 24 | 6,300,000$/3yrs | |||
![]() | 0 | C | 100.00 | 61 | 14 | 86 | 89 | 71 | 99 | 98 | 88 | 97 | 99 | 90 | 53 | 75 | 82 | 89 | 86 | 35 | 80 | 33 | 8,700,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 43 | 86 | 77 | 77 | 80 | 78 | 67 | 51 | 75 | 88 | 79 | 25 | 63 | 64 | 81 | 61 | 72 | 28 | 2,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 13 | 77 | 76 | 72 | 91 | 81 | 79 | 40 | 80 | 88 | 41 | 65 | 79 | 82 | 79 | 70 | 71 | 32 | 4,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 61 | 13 | 92 | 84 | 70 | 85 | 96 | 63 | 88 | 69 | 79 | 62 | 25 | 73 | 75 | 76 | 81 | 70 | 29 | 2,150,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 52 | 11 | 89 | 86 | 63 | 88 | 98 | 71 | 68 | 68 | 86 | 53 | 25 | 68 | 72 | 78 | 81 | 70 | 30 | 5,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 14 | 88 | 87 | 68 | 87 | 99 | 78 | 28 | 72 | 78 | 39 | 41 | 70 | 72 | 73 | 81 | 69 | 28 | 5,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 59 | 43 | 85 | 73 | 84 | 81 | 95 | 77 | 74 | 67 | 74 | 60 | 77 | 44 | 44 | 93 | 75 | 68 | 21 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 45 | 8 | 96 | 88 | 70 | 79 | 82 | 71 | 28 | 66 | 78 | 48 | 84 | 68 | 68 | 70 | 81 | 68 | 24 | 1,915,897$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 52 | 22 | 89 | 86 | 74 | 83 | 95 | 67 | 34 | 72 | 79 | 38 | 75 | 62 | 64 | 73 | 81 | 67 | 24 | 3,350,000$/5yrs | |||
![]() | 17 | C | 100.00 | 63 | 36 | 79 | 75 | 76 | 88 | 69 | 68 | 97 | 52 | 55 | 73 | 53 | 84 | 89 | 67 | 81 | 66 | 35 | 950,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 14 | 90 | 85 | 67 | 70 | 71 | 64 | 56 | 62 | 73 | 63 | 25 | 60 | 60 | 67 | 52 | 65 | 24 | 1,000,000$/4yrs | |||
![]() | 0 | D | 98.00 | 66 | 27 | 81 | 90 | 85 | 96 | 99 | 75 | 25 | 66 | 62 | 85 | 25 | 69 | 70 | 70 | 81 | 77 | 24 | 7,500,000$/3yrs | |||
![]() | 0 | D | 98.00 | 67 | 19 | 77 | 83 | 82 | 94 | 97 | 60 | 29 | 53 | 48 | 99 | 25 | 68 | 68 | 60 | 61 | 76 | 28 | 2,150,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 25 | 87 | 86 | 80 | 99 | 98 | 66 | 25 | 61 | 54 | 90 | 25 | 65 | 65 | 70 | 81 | 75 | 26 | 5,800,000$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 19 | 75 | 75 | 81 | 94 | 81 | 62 | 25 | 53 | 51 | 97 | 25 | 70 | 70 | 64 | 39 | 74 | 27 | 3,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 49 | 62 | 82 | 68 | 89 | 78 | 76 | 25 | 71 | 49 | 75 | 75 | 63 | 63 | 64 | 81 | 70 | 24 | 3,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 24 | 90 | 76 | 73 | 84 | 74 | 59 | 25 | 43 | 48 | 82 | 25 | 55 | 56 | 60 | 75 | 67 | 28 | 685,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.78 | 62 | 23 | 84 | 83 | 74 | 88 | 88 | 72 | 50 | 68 | 71 | 66 | 47 | 67 | 69 | 73 | 69 | 71 |
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 | 82 | 87 | 99 | 84 | 84 | 87 | 83 | 85 | 85 | 85 | 91 | 79 | 82 | 79 | 42 | 82 | 33 | 5,500,000$/3yrs |
![]() | 0 | 99.00 | 80 | 80 | 91 | 80 | 82 | 78 | 80 | 81 | 79 | 76 | 78 | 45 | 45 | 53 | 81 | 74 | 23 | 925,000$/5yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 81 | 84 | 95 | 82 | 83 | 83 | 82 | 83 | 82 | 81 | 85 | 62 | 64 | 66 | 62 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 85 | 65 | 90 | 75 | 70 | 59 | 70 | CAN | 49 | 4 | 2,500,000$ |
General Manager | Bill Copeland |
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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 | Sidney Crosby | 0 | C | 79 | 23 | 41 | 64 | -19 | 24 | 0 | 102 | 238 | 66 | 147 | 9.66% | 33 | 18.38 | 4 | 12 | 16 | 186 | 1 | 0 | 1 | 66 | 1 | 2 | 55.46% | 1448 | 62 | 26 | 0 | 0 | 0.88 | 0 | 5 | |
2 | Tyler Johnson | 0 | C/LW/RW | 80 | 16 | 45 | 61 | 19 | 14 | 0 | 65 | 163 | 50 | 106 | 9.82% | 34 | 17.22 | 3 | 11 | 14 | 144 | 0 | 0 | 0 | 12 | 3 | 0 | 42.96% | 1243 | 31 | 19 | 0 | 0 | 0.89 | 0 | 1 | |
3 | David Perron | 0 | LW/RW | 80 | 31 | 29 | 60 | 2 | 62 | 0 | 130 | 273 | 76 | 146 | 11.36% | 28 | 19.36 | 4 | 8 | 12 | 179 | 0 | 0 | 0 | 4 | 8 | 2 | 29.25% | 106 | 43 | 22 | 0 | 1 | 0.77 | 1 | 4 | |
4 | Nathan MacKinnon | 0 | C | 80 | 24 | 36 | 60 | -24 | 16 | 0 | 79 | 280 | 84 | 175 | 8.57% | 30 | 19.18 | 7 | 4 | 11 | 191 | 0 | 0 | 0 | 2 | 4 | 0 | 47.22% | 1781 | 84 | 16 | 0 | 0 | 0.78 | 1 | 6 | |
5 | Jason Zucker | 0 | LW/RW | 80 | 26 | 22 | 48 | 15 | 14 | 0 | 79 | 209 | 82 | 137 | 12.44% | 17 | 15.06 | 7 | 4 | 11 | 102 | 0 | 0 | 0 | 0 | 4 | 1 | 30.65% | 62 | 70 | 10 | 0 | 1 | 0.80 | 0 | 0 | |
6 | Jakub Vrana | 0 | LW/RW | 80 | 22 | 26 | 48 | 17 | 16 | 0 | 68 | 183 | 50 | 123 | 12.02% | 10 | 13.68 | 0 | 1 | 1 | 55 | 0 | 0 | 0 | 9 | 6 | 2 | 33.93% | 56 | 55 | 8 | 0 | 0 | 0.88 | 0 | 0 | |
7 | Anthony Duclair | 0 | LW/RW | 80 | 18 | 24 | 42 | 4 | 0 | 0 | 18 | 195 | 59 | 109 | 9.23% | 17 | 12.05 | 2 | 1 | 3 | 25 | 0 | 0 | 0 | 9 | 3 | 4 | 34.48% | 29 | 62 | 11 | 0 | 0 | 0.87 | 0 | 0 | |
8 | Cody Eakin | 0 | C | 80 | 12 | 24 | 36 | 13 | 2 | 0 | 86 | 109 | 46 | 74 | 11.01% | 14 | 13.49 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 139 | 3 | 1 | 56.04% | 671 | 28 | 22 | 0 | 0 | 0.67 | 0 | 0 | |
9 | Aaron Ekblad | 0 | D | 80 | 4 | 30 | 34 | 1 | 28 | 0 | 131 | 157 | 60 | 66 | 2.55% | 160 | 25.44 | 1 | 9 | 10 | 199 | 0 | 0 | 0 | 144 | 0 | 0 | 0.00% | 0 | 34 | 81 | 0 | 0 | 0.33 | 0 | 0 | |
10 | Zach Hyman | 0 | LW/RW | 80 | 13 | 15 | 28 | 8 | 18 | 0 | 108 | 146 | 37 | 90 | 8.90% | 47 | 16.14 | 0 | 3 | 3 | 37 | 1 | 0 | 1 | 146 | 0 | 1 | 42.96% | 142 | 19 | 32 | 0 | 0 | 0.43 | 0 | 0 | |
11 | Anthony DeAngelo | 0 | D | 80 | 7 | 17 | 24 | 10 | 80 | 0 | 132 | 108 | 52 | 43 | 6.48% | 100 | 21.38 | 5 | 7 | 12 | 191 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 15 | 56 | 0 | 0 | 0.28 | 0 | 0 | |
12 | Esa Lindell | 0 | D | 80 | 5 | 17 | 22 | 5 | 30 | 0 | 125 | 107 | 46 | 39 | 4.67% | 123 | 22.71 | 2 | 1 | 3 | 154 | 0 | 1 | 1 | 154 | 0 | 0 | 0.00% | 0 | 24 | 83 | 0 | 0 | 0.24 | 0 | 0 | |
13 | Derek Forbort | 0 | D | 79 | 4 | 17 | 21 | -8 | 30 | 0 | 127 | 114 | 44 | 38 | 3.51% | 126 | 21.01 | 3 | 4 | 7 | 82 | 0 | 0 | 0 | 126 | 2 | 0 | 0.00% | 0 | 17 | 53 | 0 | 0 | 0.25 | 0 | 0 | |
14 | Connor Murphy | 0 | D | 79 | 3 | 15 | 18 | 1 | 77 | 5 | 121 | 73 | 34 | 32 | 4.11% | 91 | 16.58 | 2 | 4 | 6 | 100 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 5 | 54 | 0 | 0 | 0.27 | 0 | 0 | |
15 | Andrew Mangiapane | 0 | LW | 76 | 6 | 6 | 12 | -11 | 6 | 0 | 41 | 125 | 33 | 59 | 4.80% | 15 | 8.82 | 0 | 0 | 0 | 19 | 1 | 0 | 1 | 88 | 2 | 0 | 60.00% | 15 | 30 | 5 | 0 | 0 | 0.36 | 0 | 0 | |
16 | Ryan Kesler | 17 | C | 80 | 1 | 5 | 6 | -9 | 12 | 0 | 52 | 56 | 25 | 33 | 1.79% | 17 | 9.19 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 138 | 0 | 0 | 57.26% | 379 | 5 | 15 | 0 | 0 | 0.16 | 0 | 0 | |
17 | Adam Ruzicka | 0 | C | 7 | 4 | 0 | 4 | 3 | 2 | 0 | 4 | 14 | 2 | 9 | 28.57% | 1 | 9.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 1 | 100.00% | 1 | 3 | 0 | 0 | 0 | 1.24 | 0 | 0 | |
18 | Oscar Fantenberg | 0 | D | 7 | 0 | 2 | 2 | 0 | 0 | 0 | 5 | 5 | 3 | 4 | 0.00% | 5 | 13.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.43 | 0 | 0 | |
Team Total or Average | 1287 | 219 | 371 | 590 | 27 | 431 | 5 | 1473 | 2555 | 849 | 1430 | 8.57% | 868 | 16.81 | 40 | 69 | 109 | 1678 | 3 | 2 | 5 | 1118 | 36 | 14 | 49.23% | 5933 | 587 | 516 | 0 | 2 | 0.55 | 2 | 16 |
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 | Carey Price | Flames | 53 | 25 | 22 | 4 | 0.907 | 3.29 | 3065 | 4 | 0 | 168 | 1800 | 800 | 3 | 1 | 0.769 | 13 | 52 | 28 | 5 | 5 | 3 |
2 | Ilya Samsonov | Flames | 34 | 13 | 13 | 5 | 0.928 | 2.59 | 1944 | 2 | 0 | 84 | 1162 | 589 | 1 | 3 | 0.667 | 6 | 31 | 49 | 5 | 2 | 4 |
Team Total or Average | 87 | 38 | 35 | 9 | 0.915 | 3.02 | 5010 | 6 | 0 | 252 | 2962 | 1389 | 4 | 4 | 0.737 | 19 | 83 | 77 | 10 | 7 | 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 |
# | 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 | 6 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 12 | 19 | -7 | 4 | 0.333 | 12 | 17 | 29 | 0 | 0 | 4 | 3 | 4 | 1 | 191 | 75 | 54 | 62 | 3 | 209 | 73 | 40 | 86 | 2 | 1 | 50.00% | 20 | 5 | 75.00% | 1 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 122 | 72 | 142 | 54 | 100 | 45 | 44.0% | 6.3% | 90.9% | 97.2 | Unlucky | |
2 | 6 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 27 | 20 | 7 | 11 | 0.917 | 27 | 46 | 73 | 0 | 0 | 8 | 8 | 10 | 1 | 216 | 77 | 69 | 65 | 5 | 234 | 73 | 24 | 110 | 20 | 3 | 15.00% | 12 | 4 | 66.67% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 130 | 80 | 136 | 50 | 97 | 49 | 60.0% | 12.5% | 91.5% | 104.0 | LUCKY | |
3 | 5 | 2 | 1 | 0 | 0 | 2 | 0 | 0 | 14 | 15 | -1 | 6 | 0.600 | 14 | 22 | 36 | 0 | 0 | 6 | 2 | 6 | 0 | 154 | 60 | 41 | 53 | 0 | 162 | 55 | 22 | 90 | 13 | 1 | 7.69% | 11 | 3 | 72.73% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 104 | 62 | 110 | 41 | 84 | 42 | 52.0% | 9.1% | 90.7% | 99.8 | FUN | |
4 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 23 | 12 | 11 | 8 | 0.800 | 23 | 33 | 56 | 1 | 0 | 7 | 6 | 10 | 0 | 201 | 69 | 67 | 65 | 0 | 180 | 54 | 24 | 91 | 19 | 5 | 26.32% | 12 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 116 | 72 | 101 | 43 | 82 | 42 | 60.0% | 11.4% | 93.3% | 104.8 | LUCKY | |
5 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 9 | 8 | 6 | 0.750 | 17 | 28 | 45 | 0 | 0 | 3 | 7 | 7 | 0 | 144 | 52 | 47 | 45 | 0 | 128 | 42 | 22 | 61 | 19 | 5 | 26.32% | 11 | 3 | 72.73% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 87 | 52 | 86 | 35 | 65 | 32 | 66.7% | 11.8% | 93.0% | 104.8 | LUCKY | |
6 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 17 | 14 | 3 | 5 | 0.500 | 17 | 29 | 46 | 1 | 0 | 3 | 7 | 7 | 0 | 188 | 58 | 62 | 67 | 1 | 193 | 59 | 22 | 99 | 8 | 3 | 37.50% | 11 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 115 | 70 | 106 | 39 | 81 | 41 | 50.0% | 9.0% | 92.7% | 101.8 | LUCKY | |
7 | 5 | 2 | 1 | 0 | 0 | 2 | 0 | 0 | 16 | 17 | -1 | 6 | 0.600 | 16 | 26 | 42 | 1 | 0 | 3 | 9 | 4 | 0 | 163 | 69 | 40 | 53 | 1 | 173 | 57 | 22 | 96 | 20 | 4 | 20.00% | 11 | 1 | 90.91% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 106 | 62 | 111 | 46 | 88 | 43 | 42.9% | 9.8% | 90.2% | 100.0 | FUN | |
8 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 16 | 3 | 6 | 0.600 | 19 | 27 | 46 | 0 | 0 | 6 | 9 | 4 | 0 | 165 | 58 | 52 | 55 | 0 | 161 | 65 | 28 | 89 | 13 | 2 | 15.38% | 14 | 1 | 92.86% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 99 | 56 | 116 | 43 | 84 | 41 | 53.1% | 11.5% | 90.1% | 101.6 | FUN | |
9 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 4 | 9 | 0 | 0 | 0 | 2 | 1 | 3 | 67 | 15 | 25 | 25 | 8 | 81 | 27 | 0 | 35 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 45 | 25 | 48 | 16 | 36 | 18 | 62.5% | 7.5% | 96.3% | 103.8 | DULL | |
10 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 18 | 13 | 5 | 5 | 0.625 | 18 | 29 | 47 | 0 | 0 | 3 | 6 | 9 | 0 | 144 | 43 | 49 | 49 | 6 | 148 | 35 | 10 | 62 | 17 | 6 | 35.29% | 5 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 86 | 53 | 93 | 36 | 64 | 31 | 48.0% | 12.5% | 91.2% | 103.7 | LUCKY | |
11 | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 13 | 7 | 10 | 0.833 | 20 | 35 | 55 | 0 | 1 | 7 | 7 | 5 | 1 | 220 | 92 | 67 | 58 | 3 | 211 | 64 | 28 | 112 | 16 | 3 | 18.75% | 14 | 1 | 92.86% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 135 | 83 | 128 | 51 | 99 | 49 | 58.6% | 9.1% | 93.8% | 102.9 | LUCKY | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 5 | 0 | 2 | 0 | 76 | 25 | 19 | 32 | 0 | 61 | 28 | 14 | 47 | 10 | 2 | 20.00% | 7 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 40 | 22 | 44 | 19 | 35 | 18 | 50.0% | 9.2% | 91.8% | 101.0 | LUCKY | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 2 | 1 | 5 | 0 | 73 | 25 | 22 | 26 | 0 | 65 | 20 | 12 | 29 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 45 | 27 | 42 | 16 | 32 | 17 | 50.0% | 11.0% | 87.7% | 98.7 | FUN | |
14 | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 14 | 13 | 1 | 4 | 0.500 | 14 | 24 | 38 | 1 | 0 | 2 | 6 | 6 | 0 | 131 | 40 | 46 | 43 | 7 | 146 | 60 | 18 | 64 | 1 | 0 | 0.00% | 9 | 3 | 66.67% | 1 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 87 | 56 | 93 | 33 | 65 | 31 | 58.3% | 10.7% | 91.1% | 101.8 | Unlucky | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 4 | 0 | 70 | 27 | 24 | 19 | 0 | 74 | 24 | 2 | 36 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 47 | 30 | 42 | 14 | 30 | 16 | 75.0% | 11.4% | 97.3% | 108.7 | LUCKY | |
16 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 5 | 1 | 0 | 1 | 69 | 22 | 31 | 14 | 2 | 82 | 20 | 6 | 36 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 45 | 28 | 41 | 16 | 33 | 17 | 46.2% | 10.1% | 91.5% | 101.6 | LUCKY | |
17 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 2 | 0 | 98 | 27 | 34 | 37 | 0 | 113 | 32 | 18 | 58 | 6 | 1 | 16.67% | 9 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 65 | 40 | 64 | 25 | 49 | 23 | 41.7% | 6.1% | 93.8% | 99.9 | DULL | |
18 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 2 | 5 | 0 | 0 | 0 | 1 | 1 | 2 | 73 | 16 | 31 | 25 | 3 | 72 | 27 | 6 | 29 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 43 | 25 | 46 | 17 | 35 | 17 | 42.9% | 4.1% | 94.4% | 98.6 | DULL | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 71 | 26 | 27 | 18 | 0 | 65 | 25 | 10 | 42 | 6 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 43 | 25 | 42 | 17 | 34 | 17 | 44.4% | 5.6% | 89.2% | 94.9 | Unlucky | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 5 | 9 | 1 | 0 | 2 | 1 | 1 | 0 | 63 | 28 | 21 | 14 | 0 | 76 | 31 | 10 | 30 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 40 | 23 | 48 | 17 | 31 | 14 | 40.0% | 6.3% | 90.8% | 97.1 | Unlucky | |
21 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 72 | 23 | 20 | 29 | 0 | 76 | 22 | 4 | 32 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 39 | 24 | 50 | 16 | 30 | 14 | 44.4% | 6.9% | 93.4% | 100.4 | DULL | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 62 | 21 | 26 | 15 | 0 | 77 | 30 | 18 | 32 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 43 | 26 | 45 | 17 | 31 | 14 | 44.4% | 8.1% | 92.2% | 100.3 | DULL | |
23 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 1 | 3 | 4 | 2 | 79 | 25 | 27 | 25 | 2 | 72 | 17 | 8 | 38 | 4 | 3 | 75.00% | 4 | 0 | 100.00% | 0 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 46 | 29 | 45 | 17 | 33 | 16 | 46.7% | 12.7% | 88.9% | 101.5 | FUN | |
_Vs Division | 28 | 15 | 7 | 0 | 2 | 3 | 1 | 0 | 96 | 79 | 17 | 39 | 0.696 | 96 | 153 | 249 | 1 | 1 | 32 | 26 | 35 | 3 | 982 | 373 | 298 | 303 | 11 | 996 | 319 | 138 | 489 | 70 | 13 | 18.57% | 69 | 13 | 81.16% | 1 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 609 | 371 | 620 | 241 | 464 | 229 | 55.7% | 9.8% | 92.1% | 101.8 | LUCKY | |
_Vs Conference | 55 | 28 | 15 | 0 | 2 | 7 | 1 | 2 | 197 | 161 | 36 | 71 | 0.645 | 197 | 316 | 513 | 4 | 1 | 52 | 70 | 72 | 3 | 1917 | 693 | 594 | 615 | 26 | 1945 | 637 | 260 | 960 | 148 | 33 | 22.30% | 130 | 21 | 83.85% | 2 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 1192 | 723 | 1227 | 476 | 914 | 451 | 53.9% | 10.3% | 91.7% | 102.0 | LUCKY | |
_Since Last GM Reset | 80 | 36 | 25 | 0 | 5 | 8 | 4 | 2 | 269 | 230 | 39 | 100 | 0.625 | 269 | 427 | 696 | 5 | 1 | 76 | 89 | 95 | 11 | 2790 | 973 | 901 | 894 | 41 | 2859 | 940 | 368 | 1404 | 214 | 46 | 21.50% | 184 | 27 | 85.33% | 2 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 1738 | 1055 | 1789 | 690 | 1328 | 657 | 52.3% | 9.6% | 92.0% | 101.6 | LUCKY | |
Total | 80 | 36 | 25 | 0 | 5 | 8 | 4 | 2 | 269 | 230 | 39 | 100 | 0.625 | 269 | 427 | 696 | 5 | 1 | 76 | 89 | 95 | 11 | 2790 | 973 | 901 | 894 | 41 | 2859 | 940 | 368 | 1404 | 214 | 46 | 21.50% | 184 | 27 | 85.33% | 2 | 922 | 1974 | 46.71% | 968 | 1983 | 48.81% | 563 | 1219 | 46.19% | 1738 | 1055 | 1789 | 690 | 1328 | 657 | 52.3% | 9.6% | 92.0% | 101.6 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1974 |
Neutral Zone Start | 1219 |
Defensive Zone Start | 1983 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2453 |
Faceoffs Lost | 2723 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.2 | 9.57 |
2nd Period | 23.4 | 20.31 |
3rd Period | 34.6 | 30.68 |
Overtime | 35.1 | 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 | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 216 |
---|---|
PP Goal | 46 |
PK Goal | 2 |
Empty Net Goal | 5 |
Home | Away | |
---|---|---|
Win | 21 | 24 |
Lost | 13 | 12 |
Overtime Lost | 6 | 4 |
PP Attempt | 214 |
---|---|
PP Goal | 46 |
PK Attempt | 184 |
PK Goal Against | 27 |
Home | |
---|---|
Shots For | 34.9 |
Shots Against | 35.7 |
Goals For | 3.4 |
Goals Against | 2.9 |
Hits | 17.6 |
Shots Blocked | 11.8 |
Pim | 4.6 |
Projected Total Cap Hit | 78,000,897$ |
Projected Cap Space | 3,499,103$ |
Retains And Buyout Cap Hit | 2,525,000$ |
Salary Cap To Date | 72,200,591$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2012-2013 | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 24 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | |||||
Adam Ruzicka ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | ||||||
Andrew Mangiapane ![]() | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Anthony DeAngelo ![]() | D | 24 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||
Anthony Duclair ![]() | LW/RW | 24 | 1,915,897$ | 1,915,897$ | 1,915,897$ | 1,915,897$ | 1,915,897$ | ||||
Carey Price | D | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Cody Eakin ![]() | C | 29 | 2,150,000$ | 2,150,000$ | 2,150,000$ | ||||||
Connor Murphy ![]() | D | 27 | 3,850,000$ | 3,850,000$ | 3,850,000$ | ||||||
David Perron | LW/RW | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Derek Forbort ![]() | D | 28 | 2,150,000$ | 2,150,000$ | 2,150,000$ | ||||||
Esa Lindell ![]() | D | 26 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | |||||
Ilya Samsonov ![]() | LW/RW | 23 | 925,000$ | 925,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | |||
Jakub Vrana ![]() | LW/RW | 24 | 3,350,000$ | 3,350,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||
Jason Zucker | LW/RW | 28 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Nathan MacKinnon | C | 24 | 6,300,000$ | 6,300,000$ | 6,300,000$ | 6,300,000$ | |||||
Oscar Fantenberg ![]() | D | 28 | 685,000$ | 685,000$ | |||||||
Ryan Kesler ![]() | C | 35 | 950,000$ | 950,000$ | |||||||
Sidney Crosby | C | 33 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | |||||
Tyler Johnson | C/LW/RW | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Zach Hyman ![]() | LW/RW | 28 | 2,250,000$ | 2,250,000$ |
Forward Lines | |||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Chad Krys | 1 | ||||
Dylan Garand | 2 | 78 | |||
Luke Henman | 1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-08-18 | @ | Oilers4,Flames6 | RECAP | |||||||||||
2020-08-19 | @ | Flames2,Oilers3 (OT) | RECAP | |||||||||||
2020-08-21 | @ | Jets6,Flames2 | RECAP | |||||||||||
2020-08-23 | @ | Flames3,Blues5 | RECAP | |||||||||||
2020-08-25 | @ | Ducks2,Flames5 | RECAP | |||||||||||
2020-08-27 | @ | Flames3,Kings2 (SO) | RECAP | |||||||||||
2020-08-29 | @ | Jets2,Flames4 | RECAP | |||||||||||
2020-08-31 | @ | Flames4,Ducks2 | RECAP | |||||||||||
2020-09-02 | @ | Flames7,Golden Knights1 | RECAP | |||||||||||
2020-09-04 | @ | Oilers2,Flames3 (OT) | RECAP | |||||||||||
2020-09-07 | @ | Kings4,Flames1 | RECAP | |||||||||||
2020-09-09 | @ | Flames3,Stars5 | RECAP | |||||||||||
2020-09-10 | @ | Flames3,Ducks0 | RECAP | |||||||||||
2020-09-12 | @ | Coyotes4,Flames3 (SO) | RECAP | |||||||||||
2020-09-14 | @ | Avalanche2,Flames1 | RECAP | |||||||||||
2020-09-16 | @ | Flames6,Oilers5 | RECAP | |||||||||||
2020-09-19 | @ | Flames8,Coyotes2 | RECAP | |||||||||||
2020-09-20 | @ | Flames5,Jets1 | RECAP | |||||||||||
2020-09-22 | @ | Blues4,Flames3 (OT) | RECAP | |||||||||||
2020-09-24 | @ | Devils1,Flames3 | RECAP | |||||||||||
2020-09-26 | @ | Flames2,Red Wings1 (SO) | RECAP | |||||||||||
2020-09-28 | @ | Kings1,Flames3 | RECAP | |||||||||||
2020-09-29 | @ | Wild2,Flames7 | RECAP | |||||||||||
2020-10-01 | @ | Flames4,Blues3 | RECAP | |||||||||||
2020-10-03 | @ | Panthers3,Flames4 | RECAP | |||||||||||
2020-10-08 | @ | Canucks5,Flames4 (OT) | RECAP | |||||||||||
2020-10-11 | @ | Flames5,Golden Knights3 | RECAP | |||||||||||
2020-10-13 | @ | Kings5,Flames2 | RECAP | |||||||||||
2020-10-14 | @ | Flames3,Golden Knights2 | RECAP | |||||||||||
2020-10-16 | @ | Sabres2,Flames1 | RECAP | |||||||||||
2020-10-18 | @ | Flames5,Maple Leafs1 | RECAP | |||||||||||
2020-10-20 | @ | Golden Knights5,Flames3 | RECAP | |||||||||||
2020-10-22 | @ | Flames4,Rangers3 (OT) | RECAP | |||||||||||
2020-10-24 | @ | Flyers5,Flames1 | RECAP | |||||||||||
2020-10-26 | @ | Flames5,Senators3 | RECAP | |||||||||||
2020-10-28 | @ | Avalanche2,Flames4 | RECAP | |||||||||||
2020-10-29 | @ | Flames3,Flyers2 | RECAP | |||||||||||
2020-10-31 | @ | Flames1,Canucks3 | RECAP | |||||||||||
2020-11-02 | @ | Canadiens1,Flames4 | RECAP | |||||||||||
2020-11-04 | @ | Flames2,Ducks5 | RECAP | |||||||||||
2020-11-07 | @ | Flames5,Stars1 | RECAP | |||||||||||
2020-11-08 | @ | Stars4,Flames3 (OT) | RECAP | |||||||||||
2020-11-10 | @ | Maple Leafs1,Flames3 | RECAP | |||||||||||
2020-11-12 | @ | Flames1,Kings4 | RECAP | |||||||||||
2020-11-14 | @ | Flames3,Blues4 (OT) | RECAP | |||||||||||
2020-11-15 | @ | Oilers3,Flames6 | RECAP | |||||||||||
2020-11-17 | @ | Flames2,Devils5 | RECAP | |||||||||||
2020-11-20 | @ | Flames2,Coyotes3 | RECAP | |||||||||||
2020-11-22 | @ | Coyotes4,Flames5 | RECAP | |||||||||||
2020-11-23 | @ | Stars3,Flames2 | RECAP | |||||||||||
2020-11-25 | @ | Flames2,Wild4 | RECAP | |||||||||||
2020-11-26 | @ | Flames1,Panthers2 (OT) | RECAP | |||||||||||
2020-11-28 | @ | Flames1,Sabres3 | RECAP | |||||||||||
2020-11-30 | @ | Golden Knights1,Flames5 | RECAP | |||||||||||
2020-12-03 | @ | Bruins1,Flames2 (SO) | RECAP | |||||||||||
2020-12-05 | @ | Flames3,Lightning5 | RECAP | |||||||||||
2020-12-06 | @ | Blue Jackets5,Flames6 (OT) | RECAP | |||||||||||
2020-12-08 | @ | Flames2,Wild3 (OT) | RECAP | |||||||||||
2020-12-09 | @ | Red Wings3,Flames1 | RECAP | |||||||||||
2020-12-10 | @ | Wild4,Flames3 (SO) | RECAP | |||||||||||
2020-12-12 | @ | Flames4,Stars1 | RECAP | |||||||||||
2020-12-14 | @ | Blues1,Flames3 | RECAP | |||||||||||
2020-12-15 | @ | Flames4,Oilers3 | RECAP | |||||||||||
2020-12-18 | @ | Flames3,Bruins2 (SO) | RECAP | |||||||||||
2020-12-19 | @ | Sabres2,Flames4 | RECAP | |||||||||||
2020-12-21 | @ | Flames2,Kings3 | RECAP | |||||||||||
2020-12-22 | @ | Canucks1,Flames3 | RECAP | |||||||||||
2020-12-25 | @ | Flames4,Blue Jackets3 (OT) | RECAP | |||||||||||
2020-12-26 | @ | Senators5,Flames3 | RECAP | |||||||||||
2020-12-27 | @ | Rangers4,Flames3 | RECAP | |||||||||||
Trade Deadline --- Trades cant be done after this day is simulated! | ||||||||||||||
2020-12-31 | @ | Flames5,Jets3 | RECAP | |||||||||||
2021-01-02 | @ | Flames6,Avalanche3 | RECAP | |||||||||||
2021-01-03 | @ | Ducks2,Flames3 | RECAP | |||||||||||
2021-01-05 | @ | Canucks4,Flames3 (OT) | RECAP | |||||||||||
2021-01-07 | @ | Flames6,Avalanche2 | RECAP | |||||||||||
2021-01-10 | @ | Flames3,Canadiens4 | RECAP | |||||||||||
2021-01-12 | @ | Jets4,Flames3 | RECAP | |||||||||||
2021-01-16 | @ | Lightning2,Flames1 | RECAP | |||||||||||
2021-01-20 | @ | Ducks2,Flames3 (OT) | RECAP | |||||||||||
2021-01-21 | @ | Flames3,Canucks2 | RECAP | |||||||||||
2021-01-24 | @ | |||||||||||||
2021-01-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
76,500,897$ | 2,525,000$ | 78,000,897$ | 3,499,103$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Calgary Event Centre | |
City | Calgary | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 187512 | 161035 | 63417 | 126084 | 38473 |
Attendance PCT | 78.13% | 80.52% | 79.27% | 78.80% | 96.18% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
1 | 14413 - 80.07% | 4,156,953$ | 166,278,116$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
76,500,897$ | 76,500,897$ | 0$ | 2,525,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
74,682,331$ | 75,475,897$ | 72,200,591$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
4,156,953$ | 9 | 473,059$ | 4,257,531$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,257,531$ | 78,000,897$ | 222,382,500$ | 222,281,922$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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5 | ||||
6 | ||||
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