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Full Scoreboard »» |
Calgary Flames 40-22-6, 86pts · 3rd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 64 | 42 | 63 | 86 | 82 | 85 | 79 | 87 | 83 | 90 | 80 | 62 | 91 | 84 | 79 | 0 | 81 | 92 | 34 | 9,500,000$/2yrs | |||
![]() | 71 | C | 100.00 | 69 | 46 | 71 | 90 | 77 | 86 | 89 | 83 | 88 | 80 | 78 | 67 | 83 | 67 | 74 | 0 | 75 | 89 | 24 | 6,100,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 39 | 82 | 77 | 71 | 83 | 85 | 76 | 54 | 75 | 79 | 85 | 73 | 75 | 72 | 0 | 43 | 87 | 28 | 3,500,000$/2yrs | |||
![]() | 93 | C/LW | 100.00 | 62 | 39 | 82 | 79 | 71 | 86 | 83 | 77 | 80 | 82 | 78 | 81 | 79 | 73 | 76 | 0 | 78 | 87 | 27 | 6,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 39 | 72 | 77 | 74 | 83 | 84 | 76 | 53 | 78 | 80 | 62 | 75 | 80 | 81 | 0 | 68 | 86 | 32 | 4,000,000$/2yrs | |||
![]() | 33 | RW | 100.00 | 56 | 38 | 81 | 84 | 65 | 83 | 80 | 77 | 56 | 70 | 82 | 74 | 78 | 73 | 70 | 0 | 78 | 85 | 27 | 4,250,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 79 | 53 | 76 | 72 | 80 | 85 | 82 | 71 | 74 | 72 | 78 | 83 | 71 | 75 | 74 | 0 | 69 | 85 | 28 | 2,250,000$/1yrs | |||
![]() | 29 | C/LW/RW | 100.00 | 58 | 47 | 78 | 80 | 78 | 81 | 84 | 77 | 68 | 72 | 76 | 63 | 80 | 71 | 68 | 0 | 78 | 84 | 26 | 1,200,000$/1yrs | |||
![]() | 40 | RW | 100.00 | 87 | 43 | 84 | 70 | 89 | 81 | 79 | 69 | 54 | 68 | 73 | 80 | 71 | 73 | 69 | 0 | 76 | 84 | 27 | 2,600,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 39 | 86 | 71 | 70 | 82 | 88 | 69 | 73 | 70 | 67 | 76 | 71 | 77 | 69 | 0 | 70 | 80 | 29 | 2,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 69 | 39 | 84 | 71 | 70 | 82 | 88 | 69 | 84 | 68 | 65 | 73 | 70 | 69 | 65 | 0 | 67 | 79 | 25 | 2,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 87 | 50 | 75 | 68 | 66 | 73 | 76 | 67 | 56 | 65 | 71 | 67 | 69 | 70 | 66 | 0 | 28 | 78 | 26 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 42 | 76 | 79 | 80 | 92 | 86 | 78 | 30 | 84 | 71 | 63 | 58 | 65 | 73 | 0 | 29 | 88 | 23 | 8,000,000$/8yrs | |||
![]() | 23 | D | 100.00 | 85 | 38 | 73 | 76 | 80 | 90 | 88 | 74 | 30 | 78 | 72 | 71 | 56 | 77 | 85 | 0 | 75 | 86 | 29 | 8,250,000$/6yrs | |||
![]() | 6 | D | 100.00 | 81 | 45 | 84 | 69 | 86 | 91 | 87 | 68 | 30 | 75 | 66 | 89 | 53 | 71 | 68 | 0 | 70 | 85 | 26 | 5,800,000$/5yrs | |||
![]() | 8 | D | 100.00 | 83 | 43 | 86 | 64 | 88 | 87 | 78 | 63 | 30 | 75 | 57 | 90 | 52 | 77 | 69 | 0 | 78 | 84 | 29 | 4,100,000$/3yrs | |||
![]() | 4 | D | 100.00 | 64 | 39 | 88 | 63 | 71 | 86 | 87 | 62 | 30 | 74 | 58 | 90 | 52 | 88 | 93 | 0 | 78 | 83 | 37 | 1,000,000$/1yrs | |||
![]() | 13 | D | 100.00 | 80 | 39 | 84 | 67 | 77 | 81 | 83 | 66 | 30 | 70 | 63 | 74 | 52 | 75 | 69 | 0 | 78 | 80 | 28 | 1,250,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 42 | 79 | 75 | 76 | 84 | 84 | 73 | 56 | 75 | 72 | 75 | 69 | 74 | 73 | 0 | 68 | 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 | 100.00 | 90 | 95 | 93 | 75 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 77 | 83 | 0 | 74 | 88 | 28 | 3,333,333$/1yrs |
![]() | 0 | 100.00 | 86 | 83 | 81 | 71 | 86 | 84 | 86 | 85 | 84 | 86 | 85 | 85 | 89 | 0 | 51 | 85 | 34 | 2,750,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 88 | 89 | 87 | 73 | 88 | 86 | 88 | 87 | 86 | 88 | 87 | 81 | 86 | 0 | 63 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Babcock | 75 | 81 | 90 | 86 | 84 | 78 | 63 | CAN | 56 | 1 | 1,000,000$ |
General Manager | Hugo Lavigne |
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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 | Evgeni Malkin | 0 | C | 73 | 21 | 45 | 66 | 17 | 34 | 10 | 102 | 238 | 73 | 166 | 8.82% | 5 | 18.62 | 4 | 12 | 16 | 274 | 0 | 0 | 0 | 0 | 9 | 1 | 50.22% | 1786 | 0 | 0 | 0 | 1 | 0.97 | 1 | 5 | ||
2 | Ryan Nugent-Hopkins | 93 | C/LW | 68 | 28 | 31 | 59 | 11 | 12 | 0 | 37 | 217 | 52 | 147 | 12.90% | 19 | 21.06 | 7 | 10 | 17 | 229 | 1 | 0 | 1 | 185 | 6 | 1 | 50.23% | 436 | 0 | 0 | 0 | 0 | 0.82 | 2 | 6 | ||
3 | Dylan Larkin | 71 | C | 68 | 21 | 35 | 56 | 4 | 41 | 5 | 73 | 207 | 51 | 148 | 10.14% | 4 | 19.04 | 5 | 9 | 14 | 244 | 0 | 0 | 0 | 4 | 6 | 2 | 51.73% | 1591 | 0 | 0 | 0 | 0 | 0.87 | 3 | 8 | ||
4 | Oliver Ekman-Larsson | 23 | D | 68 | 12 | 40 | 52 | 11 | 113 | 5 | 181 | 114 | 38 | 63 | 10.53% | 64 | 24.26 | 3 | 11 | 14 | 251 | 0 | 1 | 1 | 147 | 1 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.63 | 0 | 0 | ||
5 | Joel Armia | 40 | RW | 68 | 23 | 28 | 51 | 25 | 41 | 5 | 158 | 150 | 38 | 96 | 15.33% | 12 | 20.48 | 8 | 9 | 17 | 214 | 0 | 1 | 1 | 269 | 2 | 1 | 39.81% | 103 | 0 | 0 | 1 | 1 | 0.73 | 0 | 1 | ||
6 | Bryan Rust | 0 | LW/RW | 73 | 23 | 25 | 48 | -6 | 52 | 0 | 131 | 263 | 69 | 192 | 8.75% | 10 | 18.63 | 6 | 12 | 18 | 242 | 0 | 0 | 0 | 97 | 3 | 1 | 32.59% | 135 | 0 | 0 | 1 | 0 | 0.71 | 0 | 4 | ||
7 | Thomas Chabot | 0 | D | 71 | 13 | 31 | 44 | 3 | 52 | 0 | 142 | 133 | 45 | 81 | 9.77% | 69 | 24.00 | 7 | 5 | 12 | 267 | 0 | 2 | 2 | 193 | 3 | 2 | 0.00% | 0 | 0 | 0 | 0 | 1 | 0.52 | 1 | 4 | ||
8 | Esa Lindell | 6 | D | 68 | 9 | 29 | 38 | 8 | 54 | 0 | 102 | 89 | 24 | 47 | 10.11% | 104 | 23.46 | 6 | 3 | 9 | 179 | 0 | 1 | 1 | 235 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
9 | Brian Dumoulin | 8 | D | 68 | 4 | 31 | 35 | 12 | 59 | 5 | 125 | 62 | 14 | 45 | 6.45% | 96 | 21.92 | 1 | 4 | 5 | 166 | 0 | 0 | 0 | 245 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
10 | Zach Hyman | 0 | LW | 70 | 15 | 20 | 35 | 19 | 61 | 5 | 132 | 133 | 49 | 128 | 11.28% | 9 | 14.59 | 1 | 2 | 3 | 81 | 0 | 0 | 0 | 93 | 3 | 1 | 44.21% | 95 | 0 | 0 | 0 | 0 | 0.69 | 0 | 1 | ||
11 | Andreas Athanasiou | 29 | C/LW/RW | 68 | 11 | 19 | 30 | 14 | 4 | 0 | 27 | 96 | 42 | 80 | 11.46% | 2 | 13.91 | 2 | 3 | 5 | 102 | 0 | 0 | 0 | 65 | 2 | 2 | 47.15% | 702 | 0 | 0 | 0 | 0 | 0.63 | 1 | 2 | ||
12 | Calle Jarnkrok | 0 | LW/RW | 72 | 15 | 14 | 29 | -9 | 6 | 0 | 12 | 172 | 37 | 91 | 8.72% | 3 | 13.96 | 5 | 8 | 13 | 186 | 1 | 0 | 1 | 61 | 2 | 1 | 48.24% | 85 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | ||
13 | David Perron | 0 | LW/RW | 70 | 15 | 13 | 28 | 2 | 53 | 5 | 116 | 90 | 30 | 60 | 16.67% | 3 | 16.10 | 1 | 6 | 7 | 229 | 0 | 0 | 0 | 18 | 4 | 3 | 45.57% | 79 | 0 | 0 | 0 | 0 | 0.50 | 0 | 2 | ||
14 | Viktor Arvidsson | 33 | RW | 68 | 15 | 12 | 27 | 4 | 4 | 0 | 14 | 160 | 37 | 108 | 9.38% | 7 | 12.03 | 0 | 0 | 0 | 35 | 0 | 0 | 0 | 0 | 5 | 0 | 38.18% | 55 | 0 | 0 | 0 | 0 | 0.66 | 1 | 2 | ||
15 | Andy Greene | 4 | D | 68 | 4 | 19 | 23 | 3 | 18 | 0 | 32 | 50 | 10 | 18 | 8.00% | 94 | 17.26 | 1 | 1 | 2 | 29 | 0 | 2 | 2 | 254 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.39 | 0 | 0 | ||
16 | Drake Caggiula | 0 | C/LW | 71 | 11 | 12 | 23 | -5 | 39 | 5 | 115 | 103 | 18 | 69 | 10.68% | 7 | 11.47 | 6 | 5 | 11 | 157 | 0 | 0 | 0 | 7 | 0 | 1 | 38.78% | 49 | 0 | 0 | 0 | 0 | 0.56 | 0 | 1 | ||
17 | Mark Pysyk | 13 | D | 67 | 1 | 15 | 16 | 5 | 62 | 0 | 118 | 27 | 10 | 13 | 3.70% | 35 | 13.58 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
18 | Lucas Wallmark | 0 | C | 69 | 4 | 5 | 9 | -5 | 0 | 0 | 16 | 58 | 12 | 39 | 6.90% | 4 | 7.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 51.98% | 531 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
Team Total or Average | 1248 | 245 | 424 | 669 | 113 | 705 | 45 | 1633 | 2362 | 649 | 1591 | 10.37% | 547 | 17.31 | 63 | 100 | 163 | 2895 | 2 | 7 | 9 | 1917 | 51 | 19 | 49.41% | 5647 | 0 | 0 | 4 | 3 | 0.62 | 9 | 37 |
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 | 53 | 31 | 15 | 6 | 0.907 | 2.48 | 3176 | 4 | 3 | 131 | 1412 | 0 | 1 | 3 | 0.774 | 31 | 52 | 16 | 3 | 1 | 3 | |
2 | Anton Khudobin | 21 | 12 | 7 | 1 | 0.916 | 2.27 | 1217 | 6 | 1 | 46 | 549 | 0 | 1 | 0 | 0.750 | 8 | 20 | 49 | 1 | 2 | 1 | |
Team Total or Average | 74 | 43 | 22 | 7 | 0.910 | 2.42 | 4393 | 10 | 4 | 177 | 1961 | 0 | 2 | 3 | 0.769 | 39 | 72 | 65 | 4 | 3 | 4 |
Projected Total Cap Hit | 79,133,333$ |
Projected Cap Space | 2,366,667$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 67,091,056$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Flames Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andreas Athanasiou | C/LW/RW | 26 | 1,200,000$ | 1,200,000$ | ![]() | ||||||
Andy Greene ![]() | D | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Anton Khudobin | G | 34 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Brian Dumoulin | D | 29 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | ||||
Bryan Rust | LW/RW | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Calle Jarnkrok | LW/RW | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
David Perron | LW/RW | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Drake Caggiula ![]() | C/LW | 26 | 700,000$ | 700,000$ | ![]() | ||||||
Dylan Larkin | C | 24 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | ![]() | ||||
Esa Lindell | D | 26 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | ||
Evgeni Malkin | C | 34 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Joel Armia | RW | 27 | 2,600,000$ | 2,600,000$ | UFA | ||||||
Lucas Wallmark | C | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ![]() | |||||
Mark Pysyk ![]() | D | 28 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Oliver Ekman-Larsson | D | 29 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |
Philipp Grubauer | G | 28 | 3,333,333$ | 3,333,333$ | UFA | ||||||
Ryan Nugent-Hopkins | C/LW | 27 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Thomas Chabot | D | 23 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ |
Viktor Arvidsson | RW | 27 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Zach Hyman | LW | 28 | 2,250,000$ | 2,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Johnson ![]() | C | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Adam Werner ![]() | G | 23 | 700,000$ | 700,000$ | RFA | ||||||
Alan Quine ![]() | C | 27 | 800,000$ | 800,000$ | UFA | ||||||
Alexander True ![]() | C/RW | 23 | 763,333$ | 763,333$ | RFA | ||||||
Anton Blidh ![]() | LW/RW | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Ashton Sautner ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Ben Harpur ![]() | D | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Brett Murray ![]() | LW | 22 | 700,000$ | 700,000$ | RFA | ||||||
Christian Fischer ![]() | RW | 23 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | |||||
David Quenneville ![]() | D | 22 | 775,883$ | 775,883$ | RFA | ||||||
Jaret Anderson-Dolan ![]() | C | 21 | 745,000$ | 745,000$ | RFA | ||||||
Jonah Gadjovich ![]() | LW | 21 | 783,000$ | 783,000$ | 783,000$ | RFA | |||||
Joshua Ho-Sang ![]() | RW | 24 | 700,000$ | 700,000$ | ![]() | ||||||
Kyle Keyser ![]() | G | 21 | 733,333$ | 733,333$ | 733,333$ | RFA | |||||
Louie Belpedio ![]() | D | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Max Jones ![]() | LW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Maxim Letunov ![]() | C | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Nick Caamano ![]() | RW | 22 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Nicolas Meloche ![]() | D | 23 | 700,000$ | 700,000$ | 700,000$ | RFA | |||||
Niklas Hansson ![]() | D | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Petrus Palmu ![]() | RW | 23 | 825,833$ | 825,833$ | RFA | ||||||
Reece Willcox ![]() | D | 26 | 700,000$ | 700,000$ | ![]() | ||||||
Rourke Chartier ![]() | C | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Sam Carrick ![]() | C/RW | 28 | 700,000$ | 700,000$ | 700,000$ | UFA | |||||
Sheldon Dries ![]() | C | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Stelio Mattheos ![]() | C | 21 | 809,166$ | 809,166$ | 809,166$ | RFA | |||||
Tomas Jurco ![]() | LW | 27 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Ty Lewis ![]() | RW | 22 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Ty Ronning ![]() | RW | 23 | 900,000$ | 900,000$ | RFA | ||||||
Vinni Lettieri ![]() | C | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Vitek Vanecek ![]() | G | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Wyatt Newpower ![]() | D | 22 | 700,000$ | 700,000$ | RFA |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 19 | 4 | 9 | 6 | 0 | 38 | 15 | 8 | 30 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 20 | 13 | 26 | 7 | 12 | 6 | 25.0% | 5.3% | 92.1% | 97.4 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 36 | 13 | 12 | 11 | 0 | 28 | 6 | 12 | 29 | 6 | 2 | 33.33% | 6 | 0 | 100.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 19 | 12 | 27 | 7 | 13 | 5 | 20.0% | 8.3% | 85.7% | 94.0 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 7 | 8 | 7 | 0 | 26 | 5 | 6 | 15 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 24 | 17 | 22 | 8 | 12 | 6 | 33.3% | 4.5% | 88.5% | 93.0 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 4 | 1 | 1 | 0 | 31 | 11 | 10 | 10 | 0 | 31 | 12 | 4 | 24 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 24 | 16 | 22 | 6 | 13 | 7 | 85.7% | 19.4% | 96.8% | 116.1 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 1 | 44 | 13 | 21 | 7 | 6 | 21 | 6 | 6 | 21 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 29 | 21 | 23 | 7 | 11 | 6 | 66.7% | 4.5% | 95.2% | 99.8 | DULL | |
6 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 2 | 1 | 3 | 2 | 56 | 19 | 14 | 17 | 11 | 60 | 18 | 20 | 40 | 10 | 3 | 30.00% | 10 | 3 | 70.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 53 | 38 | 50 | 15 | 25 | 13 | 62.5% | 14.3% | 90.0% | 104.3 | FUN | |
7 | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 18 | 27 | 0 | 0 | 2 | 2 | 3 | 2 | 86 | 22 | 34 | 25 | 5 | 74 | 14 | 31 | 74 | 11 | 2 | 18.18% | 13 | 2 | 84.62% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 79 | 55 | 65 | 22 | 39 | 20 | 53.8% | 10.5% | 89.2% | 99.7 | FUN | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 0 | 0 | 2 | 31 | 13 | 9 | 6 | 6 | 32 | 7 | 4 | 20 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 25 | 18 | 26 | 7 | 13 | 6 | 57.1% | 12.9% | 90.6% | 103.5 | FUN | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 1 | 0 | 5 | 0 | 53 | 23 | 10 | 20 | 0 | 45 | 10 | 14 | 42 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 49 | 35 | 43 | 16 | 26 | 13 | 50.0% | 11.3% | 88.9% | 100.2 | FUN | |
10 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 6 | 1.000 | 14 | 27 | 41 | 0 | 0 | 7 | 1 | 6 | 0 | 105 | 25 | 34 | 46 | 0 | 79 | 23 | 38 | 70 | 14 | 3 | 21.43% | 12 | 2 | 83.33% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 77 | 55 | 66 | 20 | 36 | 17 | 64.7% | 13.3% | 89.9% | 103.2 | FUN | |
11 | 5 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 21 | 10 | 11 | 10 | 1.000 | 21 | 36 | 57 | 0 | 0 | 9 | 3 | 7 | 2 | 180 | 49 | 62 | 62 | 9 | 123 | 31 | 40 | 97 | 24 | 1 | 4.17% | 19 | 4 | 78.95% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 133 | 95 | 111 | 36 | 64 | 32 | 76.9% | 11.7% | 91.9% | 103.5 | LUCKY | |
12 | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 1 | 13 | 15 | -2 | 7 | 0.700 | 13 | 26 | 39 | 0 | 0 | 7 | 5 | 0 | 3 | 172 | 60 | 62 | 45 | 11 | 132 | 45 | 45 | 102 | 30 | 3 | 10.00% | 16 | 3 | 81.25% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 132 | 94 | 114 | 35 | 59 | 30 | 45.5% | 7.6% | 88.6% | 96.2 | Unlucky | |
13 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 5 | 1 | 2 | 0 | 67 | 27 | 19 | 21 | 0 | 50 | 25 | 14 | 80 | 12 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 79 | 55 | 62 | 20 | 37 | 20 | 61.5% | 11.9% | 88.0% | 99.9 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 18 | 3 | 7 | 8 | 0 | 32 | 7 | 16 | 23 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 23 | 16 | 24 | 7 | 11 | 5 | 40.0% | 11.1% | 87.5% | 98.6 | FUN | |
15 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 13 | 8 | 5 | 5 | 0.625 | 13 | 24 | 37 | 1 | 1 | 8 | 2 | 3 | 0 | 128 | 55 | 29 | 42 | 2 | 104 | 31 | 42 | 89 | 19 | 3 | 15.79% | 21 | 2 | 90.48% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 105 | 74 | 88 | 27 | 46 | 23 | 62.5% | 10.2% | 92.3% | 102.5 | LUCKY | |
16 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 76 | 14 | 36 | 26 | 0 | 88 | 22 | 28 | 81 | 12 | 1 | 8.33% | 13 | 1 | 92.31% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 70 | 48 | 74 | 21 | 37 | 18 | 42.9% | 9.2% | 89.8% | 99.0 | FUN | |
17 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 6 | 1.000 | 11 | 18 | 29 | 0 | 1 | 5 | 3 | 3 | 0 | 79 | 22 | 24 | 33 | 0 | 84 | 23 | 24 | 67 | 10 | 1 | 10.00% | 11 | 1 | 90.91% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 65 | 44 | 78 | 21 | 36 | 17 | 71.4% | 13.9% | 94.0% | 108.0 | LUCKY | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 18 | 5 | 7 | 6 | 0 | 30 | 14 | 8 | 17 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 23 | 16 | 23 | 8 | 12 | 6 | 20.0% | 5.6% | 86.7% | 92.2 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 31 | 11 | 10 | 10 | 0 | 18 | 6 | 2 | 19 | 6 | 3 | 50.00% | 1 | 0 | 100.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 27 | 20 | 19 | 6 | 12 | 6 | 33.3% | 12.9% | 88.9% | 101.8 | FUN | |
20 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 1 | 6 | 1 | 1 | 67 | 16 | 24 | 24 | 3 | 86 | 25 | 36 | 71 | 9 | 2 | 22.22% | 18 | 4 | 77.78% | 1 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 70 | 48 | 72 | 22 | 39 | 19 | 63.6% | 13.4% | 90.7% | 104.1 | FUN | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 28 | 16 | 4 | 8 | 0 | 35 | 5 | 12 | 19 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 24 | 17 | 23 | 6 | 11 | 5 | 66.7% | 14.3% | 91.4% | 105.7 | LUCKY | |
22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 2 | 26 | 10 | 5 | 10 | 9 | 27 | 8 | 12 | 24 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 26 | 18 | 23 | 8 | 14 | 8 | 33.3% | 7.7% | 88.9% | 96.6 | Unlucky | |
23 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 12 | 19 | 1 | 0 | 3 | 3 | 1 | 0 | 80 | 24 | 34 | 22 | 0 | 74 | 11 | 51 | 51 | 11 | 3 | 27.27% | 17 | 4 | 76.47% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 72 | 50 | 70 | 22 | 37 | 18 | 36.4% | 8.8% | 85.1% | 93.9 | Unlucky | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 34 | 11 | 7 | 16 | 0 | 39 | 8 | 12 | 13 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 23 | 16 | 24 | 7 | 11 | 5 | 50.0% | 2.9% | 92.3% | 95.2 | DULL | |
25 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 4 | 2 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 2 | 0 | 69 | 25 | 19 | 22 | 6 | 58 | 13 | 16 | 46 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 50 | 35 | 49 | 14 | 24 | 12 | 55.6% | 8.7% | 93.1% | 101.8 | DULL | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 2 | 1 | 2 | 0 | 58 | 16 | 17 | 25 | 0 | 61 | 21 | 16 | 39 | 8 | 1 | 12.50% | 8 | 1 | 87.50% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 50 | 36 | 44 | 12 | 25 | 13 | 50.0% | 8.6% | 91.8% | 100.4 | DULL | |
27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 49 | 14 | 16 | 19 | 0 | 46 | 13 | 22 | 50 | 7 | 3 | 42.86% | 10 | 1 | 90.00% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 46 | 30 | 46 | 15 | 26 | 13 | 25.0% | 8.2% | 91.3% | 99.5 | DULL | |
28 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 8 | 0.667 | 19 | 36 | 55 | 0 | 0 | 8 | 4 | 7 | 0 | 155 | 57 | 46 | 52 | 0 | 200 | 52 | 72 | 143 | 23 | 3 | 13.04% | 27 | 2 | 92.59% | 1 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 139 | 97 | 146 | 41 | 73 | 38 | 51.6% | 12.3% | 91.5% | 103.8 | LUCKY | |
29 | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 12 | 16 | -4 | 3 | 0.300 | 12 | 23 | 35 | 1 | 0 | 7 | 4 | 1 | 0 | 157 | 56 | 46 | 55 | 0 | 101 | 41 | 36 | 114 | 12 | 4 | 33.33% | 15 | 2 | 86.67% | 0 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 127 | 89 | 108 | 34 | 65 | 33 | 36.4% | 7.6% | 84.2% | 91.8 | Unlucky | |
_Vs Division | 26 | 12 | 8 | 0 | 2 | 2 | 1 | 1 | 79 | 69 | 10 | 33 | 0.635 | 79 | 147 | 226 | 2 | 1 | 40 | 18 | 18 | 5 | 826 | 288 | 252 | 272 | 22 | 699 | 208 | 247 | 558 | 112 | 14 | 12.50% | 104 | 15 | 85.58% | 1 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 662 | 467 | 595 | 184 | 320 | 164 | 54.6% | 9.6% | 90.1% | 99.7 | FUN | |
_Vs Conference | 48 | 24 | 13 | 0 | 3 | 3 | 3 | 2 | 149 | 126 | 23 | 65 | 0.677 | 149 | 271 | 420 | 3 | 3 | 67 | 37 | 39 | 8 | 1425 | 460 | 456 | 483 | 42 | 1278 | 368 | 474 | 1064 | 196 | 28 | 14.29% | 197 | 31 | 84.26% | 2 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 1203 | 845 | 1119 | 344 | 596 | 300 | 56.0% | 10.5% | 90.1% | 100.6 | FUN | |
_Since Last GM Reset | 68 | 30 | 22 | 0 | 5 | 3 | 5 | 3 | 203 | 179 | 24 | 86 | 0.632 | 203 | 367 | 570 | 4 | 4 | 88 | 46 | 59 | 15 | 1975 | 641 | 635 | 661 | 68 | 1822 | 517 | 647 | 1510 | 275 | 41 | 14.91% | 277 | 39 | 85.92% | 3 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 1700 | 1194 | 1583 | 494 | 854 | 431 | 53.6% | 10.3% | 90.2% | 100.5 | FUN | |
Total | 68 | 30 | 22 | 0 | 5 | 3 | 5 | 3 | 203 | 179 | 24 | 86 | 0.632 | 203 | 367 | 570 | 4 | 4 | 88 | 46 | 59 | 15 | 1975 | 641 | 635 | 661 | 68 | 1822 | 517 | 647 | 1510 | 275 | 41 | 14.91% | 277 | 39 | 85.92% | 3 | 1190 | 2330 | 51.07% | 1092 | 2220 | 49.19% | 500 | 1019 | 49.07% | 1700 | 1194 | 1583 | 494 | 854 | 431 | 53.6% | 10.3% | 90.2% | 100.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2330 |
Neutral Zone Start | 1019 |
Defensive Zone Start | 2220 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2782 |
Faceoffs Lost | 2787 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 18.8 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 29.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 155 |
---|---|
PP Goal | 41 |
PK Goal | 3 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 21 | 19 |
Lost | 11 | 11 |
Overtime Lost | 4 | 2 |
PP Attempt | 275 |
---|---|
PP Goal | 41 |
PK Attempt | 277 |
PK Goal Against | 39 |
Home | |
---|---|
Shots For | 29.0 |
Shots Against | 26.8 |
Goals For | 3.0 |
Goals Against | 2.6 |
Hits | 22.2 |
Shots Blocked | 7.6 |
Pim | 9.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-02 | @ | Canucks2,Flames5 | RECAP | |||||||||||
2020-10-04 | @ | Flames4,Red Wings3 (SO) | RECAP | |||||||||||
2020-10-06 | @ | Canucks1,Flames5 | RECAP | |||||||||||
2020-10-07 | @ | Flames2,Canadiens4 | RECAP | |||||||||||
2020-10-11 | @ | Sharks1,Flames2 | RECAP | |||||||||||
2020-10-14 | @ | Blackhawks2,Flames3 | RECAP | |||||||||||
2020-10-18 | @ | Flames1,Ducks3 | RECAP | |||||||||||
2020-10-19 | @ | Kings6,Flames2 | RECAP | |||||||||||
2020-10-21 | @ | Flames2,Oilers3 (OT) | RECAP | |||||||||||
2020-10-23 | @ | Golden Knights5,Flames4 (OT) | RECAP | |||||||||||
2020-10-26 | @ | Flames1,Golden Knights2 | RECAP | |||||||||||
2020-10-27 | @ | Maple Leafs0,Flames5 | RECAP | |||||||||||
2020-10-29 | @ | Flames6,Coyotes3 | RECAP | |||||||||||
2020-10-30 | @ | Flames5,Sharks3 | RECAP | |||||||||||
2020-11-01 | @ | Oilers2,Flames5 | RECAP | |||||||||||
2020-11-03 | @ | Avalanche3,Flames4 (SO) | RECAP | |||||||||||
2020-11-07 | @ | Flames1,Golden Knights4 | RECAP | |||||||||||
2020-11-08 | @ | Sharks3,Flames1 | RECAP | |||||||||||
2020-11-12 | @ | Coyotes0,Flames2 | RECAP | |||||||||||
2020-11-17 | @ | Canucks3,Flames4 (SO) | RECAP | |||||||||||
2020-11-19 | @ | Flames0,Jets5 | RECAP | |||||||||||
2020-11-21 | @ | Wild3,Flames5 | RECAP | |||||||||||
2020-11-23 | @ | Flames1,Blues4 | RECAP | |||||||||||
2020-11-25 | @ | Sabres2,Flames4 | RECAP | |||||||||||
2020-11-27 | @ | Flames2,Lightning4 | RECAP | |||||||||||
2020-11-29 | @ | Rangers2,Flames3 (OT) | RECAP | |||||||||||
2020-12-01 | @ | Flames1,Bruins4 | RECAP | |||||||||||
2020-12-03 | @ | Oilers3,Flames1 | RECAP | |||||||||||
2020-12-05 | @ | Flames3,Predators2 | RECAP | |||||||||||
2020-12-08 | @ | Sharks2,Flames3 | RECAP | |||||||||||
2020-12-10 | @ | Flames4,Panthers3 | RECAP | |||||||||||
2020-12-12 | @ | Flames3,Coyotes2 | RECAP | |||||||||||
2020-12-13 | @ | Avalanche3,Flames4 (SO) | RECAP | |||||||||||
2020-12-16 | @ | Jets1,Flames4 | RECAP | |||||||||||
2020-12-18 | @ | Flames4,Canadiens1 | RECAP | |||||||||||
2020-12-20 | @ | Flames4,Stars1 | RECAP | |||||||||||
2020-12-21 | @ | Blues1,Flames3 | RECAP | |||||||||||
2020-12-24 | @ | Flames4,Canucks3 (OT) | RECAP | |||||||||||
2020-12-25 | @ | Kings3,Flames4 (OT) | RECAP | |||||||||||
2020-12-28 | @ | Rangers3,Flames2 | RECAP | |||||||||||
2020-12-30 | @ | Flames2,Hurricanes1 (SO) | RECAP | |||||||||||
2021-01-01 | @ | Flames3,Canucks1 | RECAP | |||||||||||
2021-01-02 | @ | Kings3,Flames2 (SO) | RECAP | |||||||||||
2021-01-05 | @ | Jets5,Flames3 | RECAP | |||||||||||
2021-01-08 | @ | Flames1,Flyers3 | RECAP | |||||||||||
2021-01-10 | @ | Islanders1,Flames6 | RECAP | |||||||||||
2021-01-12 | @ | Flames3,Devils4 | RECAP | |||||||||||
2021-01-14 | @ | Penguins3,Flames1 | RECAP | |||||||||||
2021-01-15 | @ | Flames3,Kings2 | RECAP | |||||||||||
2021-01-18 | @ | Maple Leafs5,Flames0 | RECAP | |||||||||||
2021-01-21 | @ | Flames6,Wild4 | RECAP | |||||||||||
2021-01-23 | @ | Penguins1,Flames3 | RECAP | |||||||||||
2021-01-25 | @ | Flames2,Kings1 | RECAP | |||||||||||
2021-01-27 | @ | Predators4,Flames2 | RECAP | |||||||||||
2021-01-28 | @ | Flames4,Blackhawks3 (OT) | RECAP | |||||||||||
2021-01-31 | @ | Predators0,Flames3 | RECAP | |||||||||||
2021-02-03 | @ | Flames3,Sharks5 | RECAP | |||||||||||
2021-02-04 | @ | Blackhawks3,Flames2 | RECAP | |||||||||||
2021-02-07 | @ | Flames3,Wild1 | RECAP | |||||||||||
2021-02-09 | @ | Senators3,Flames1 | RECAP | |||||||||||
2021-02-11 | @ | Flames3,Blues4 (OT) | RECAP | |||||||||||
2021-02-13 | @ | Flames4,Rangers3 (OT) | RECAP | |||||||||||
2021-02-15 | @ | Golden Knights1,Flames4 | RECAP | |||||||||||
2021-02-17 | @ | Flames5,Sharks3 | RECAP | |||||||||||
2021-02-19 | @ | Blue Jackets3,Flames2 (SO) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2021-02-23 | @ | Golden Knights4,Flames2 | RECAP | |||||||||||
2021-02-26 | @ | Flames5,Oilers0 | RECAP | |||||||||||
2021-02-27 | @ | Stars3,Flames2 (SO) | RECAP | |||||||||||
2021-03-03 | @ | |||||||||||||
2021-03-04 | @ | |||||||||||||
2021-03-06 | @ | |||||||||||||
2021-03-07 | @ | |||||||||||||
2021-03-11 | @ | |||||||||||||
2021-03-14 | @ | |||||||||||||
2021-03-16 | @ | |||||||||||||
2021-03-17 | @ | |||||||||||||
2021-03-18 | @ | |||||||||||||
2021-03-21 | @ | |||||||||||||
2021-03-22 | @ | |||||||||||||
2021-03-23 | @ | |||||||||||||
2021-03-24 | @ | |||||||||||||
2021-03-25 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,383,333$ | 0$ | 79,133,333$ | 1,116,667$ |
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 | 203958 | 168019 | 67434 | 137860 | 33827 |
Attendance PCT | 94.43% | 93.34% | 93.66% | 95.74% | 93.96% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 16975 - 94.31% | 1,494,758$ | 53,811,287$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,383,333$ | 80,383,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
68,194,401$ | 79,133,333$ | 67,091,056$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
7,473,790$ | 29 | 454,655$ | 13,184,995$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
13,668,378$ | 80,383,333$ | 29,659,548$ | 23,464,960$ |
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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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2021 | |||||||
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2024 | |||||||
2025 |
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 ) |
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. |
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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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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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Aatu Jamsen | |||||
Alex Khokhlachev | 6.5 - 3.5 | ||||
Alex Young | 2020 | 132 | |||
Anatoli Golyshev | 6.0 - 2.5 | ||||
Andrei Altybarmakyan | 7.0 - 6.0 | ||||
Axel Rindell | |||||
Charles Beaudoin | 2020 | 151 | |||
Dmitri Zavgorodny | |||||
Emil Andrae | 2020 | 39 | |||
Eric Hjorth | 2019 | 119 | 3.0 - 3.0 | ||
Ethan Keppen | 2019 | 132 | 6.5 - 6.5 | ||
Gustav Berglund | 2019 | 181 | |||
Juuso Maenpaa | 2020 | 84 | |||
Kevin Mandolese | 2018 | 5C | |||
Kirill Marchenko | 8.0 - 5.5 | ||||
Mackade Webster | 2019 | 212 | |||
Matias Rajaniemi | 2020 | 135 | |||
Matteo Gennaro | |||||
Nate Schweitzer | 2020 | 154 | |||
Nick Malik | 2020 | 85 | |||
Oskar Magnusson | 2020 | 87 | |||
Patrik Puistola | 2019 | 39 | 7.5 - 7.0 | ||
Reid Valade | 2020 | 195 | |||
Ronald Attard | 2019 | 88 | |||
Tucker Tynan | 2020 | 143 | |||
Ville Ottavainen | 2020 | 184 |
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