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Full Scoreboard »» |
Calgary Flames 45-18-3, 93pts · 2nd in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 72 | 34 | 88 | 78 | 90 | 86 | 90 | 75 | 60 | 70 | 84 | 69 | 80 | 82 | 93 | 0 | 84 | 87 | 33 | 6,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 67 | 33 | 87 | 69 | 79 | 87 | 90 | 67 | 88 | 71 | 68 | 77 | 68 | 85 | 99 | 0 | 84 | 81 | 36 | 5,500,000$/2yrs | |||
![]() | 23 | RW | 100.00 | 82 | 43 | 82 | 71 | 80 | 81 | 90 | 67 | 63 | 67 | 78 | 60 | 72 | 79 | 77 | 0 | 84 | 81 | 32 | 3,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 83 | 33 | 93 | 67 | 75 | 83 | 81 | 66 | 61 | 53 | 85 | 66 | 75 | 73 | 72 | 0 | 84 | 79 | 28 | 4,250,000$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 32 | 88 | 73 | 72 | 84 | 83 | 69 | 79 | 70 | 73 | 60 | 71 | 64 | 63 | 0 | 70 | 79 | 24 | 2,900,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 33 | 86 | 70 | 81 | 80 | 78 | 69 | 76 | 70 | 72 | 58 | 71 | 67 | 65 | 0 | 84 | 78 | 25 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 32 | 85 | 64 | 71 | 83 | 88 | 67 | 62 | 70 | 67 | 58 | 67 | 77 | 76 | 0 | 62 | 77 | 31 | 3,000,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 86 | 35 | 91 | 55 | 78 | 78 | 85 | 60 | 82 | 57 | 63 | 89 | 62 | 80 | 80 | 0 | 84 | 76 | 33 | 3,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 33 | 91 | 63 | 75 | 77 | 83 | 66 | 55 | 67 | 70 | 53 | 68 | 72 | 71 | 0 | 84 | 76 | 28 | 1,900,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 88 | 33 | 76 | 62 | 84 | 83 | 90 | 60 | 63 | 70 | 61 | 57 | 60 | 69 | 66 | 0 | 84 | 75 | 26 | 950,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 35 | 92 | 59 | 81 | 77 | 83 | 61 | 58 | 61 | 63 | 70 | 62 | 74 | 73 | 0 | 84 | 74 | 29 | 1,255,000$/1yrs | |||
![]() | 38 | C | 100.00 | 63 | 38 | 87 | 58 | 72 | 69 | 83 | 64 | 75 | 64 | 57 | 67 | 60 | 70 | 69 | 0 | 68 | 72 | 29 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 34 | 87 | 68 | 93 | 93 | 90 | 68 | 30 | 75 | 67 | 74 | 68 | 92 | 91 | 0 | 87 | 84 | 40 | 8,000,000$/1yrs | |||
![]() | 6 | D | 100.00 | 67 | 34 | 95 | 58 | 88 | 89 | 90 | 64 | 30 | 65 | 60 | 82 | 62 | 76 | 85 | 0 | 82 | 79 | 30 | 5,800,000$/6yrs | |||
![]() | 0 | D | 100.00 | 62 | 33 | 92 | 62 | 79 | 92 | 90 | 65 | 30 | 68 | 55 | 77 | 60 | 81 | 81 | 0 | 84 | 79 | 34 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 79 | 55 | 82 | 84 | 84 | 59 | 30 | 61 | 58 | 72 | 59 | 71 | 69 | 0 | 84 | 74 | 28 | 2,750,000$/4yrs | |||
![]() | 0 | D | 100.00 | 78 | 45 | 80 | 55 | 94 | 87 | 88 | 60 | 30 | 60 | 54 | 74 | 57 | 68 | 66 | 0 | 84 | 74 | 26 | 2,294,150$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 32 | 84 | 58 | 75 | 86 | 90 | 56 | 30 | 61 | 58 | 70 | 57 | 73 | 71 | 0 | 84 | 73 | 28 | 3,200,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 71 | 35 | 87 | 64 | 81 | 83 | 86 | 65 | 56 | 66 | 66 | 69 | 66 | 75 | 76 | 0 | 81 | 78 |
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 | 95 | 82 | 87 | 83 | 80 | 84 | 89 | 87 | 87 | 84 | 83 | 87 | 0 | 82 | 89 | 35 | 5,250,000$/1yrs |
![]() | 0 | 100.00 | 79 | 75 | 72 | 84 | 78 | 73 | 78 | 77 | 78 | 78 | 78 | 78 | 82 | 0 | 85 | 82 | 32 | 1,255,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 81 | 85 | 77 | 86 | 81 | 77 | 81 | 83 | 83 | 83 | 81 | 81 | 85 | 0 | 84 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Huska | 86 | 86 | 84 | 88 | 70 | 65 | 79 | CAN | 49 | 5 | 1,000,000$ |
General Manager | Guillaume Papillon |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Chris Kreider | 0 | LW/RW | 66 | 34 | 37 | 71 | 21 | 18 | 0 | 106 | 343 | 90 | 227 | 9.91% | 10 | 18.29 | 10 | 11 | 21 | 238 | 0 | 0 | 0 | 15 | 5 | 1 | 48.33% | 120 | 0 | 0 | 0 | 1 | 1.18 | 1 | 2 | |
2 | Mikael Backlund | 0 | C | 66 | 13 | 38 | 51 | 24 | 19 | 5 | 73 | 194 | 58 | 124 | 6.70% | 15 | 20.56 | 2 | 12 | 14 | 190 | 0 | 0 | 0 | 257 | 2 | 0 | 53.13% | 1946 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
3 | Brent Burns | 0 | D | 66 | 10 | 33 | 43 | 29 | 33 | 5 | 52 | 86 | 15 | 48 | 11.63% | 77 | 21.11 | 4 | 3 | 7 | 91 | 0 | 0 | 0 | 202 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
4 | Nick Leddy | 0 | D | 66 | 13 | 30 | 43 | 11 | 24 | 0 | 66 | 85 | 23 | 54 | 15.29% | 115 | 21.72 | 5 | 14 | 19 | 234 | 0 | 0 | 0 | 211 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
5 | Stefan Noesen | 23 | RW | 66 | 19 | 19 | 38 | 25 | 37 | 5 | 139 | 130 | 34 | 76 | 14.62% | 2 | 15.47 | 8 | 5 | 13 | 189 | 0 | 0 | 0 | 0 | 2 | 1 | 41.67% | 72 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
6 | Filip Chytil | 0 | C/LW | 66 | 7 | 21 | 28 | 15 | 8 | 0 | 40 | 109 | 48 | 94 | 6.42% | 4 | 19.01 | 2 | 11 | 13 | 188 | 0 | 0 | 0 | 115 | 0 | 0 | 45.98% | 174 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
7 | Alex Newhook | 0 | C/LW/RW | 67 | 12 | 12 | 24 | -8 | 8 | 0 | 50 | 120 | 28 | 58 | 10.00% | 2 | 10.31 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 50.38% | 532 | 0 | 0 | 0 | 0 | 0.70 | 2 | 3 | |
8 | Nicolas Hague | 0 | D | 66 | 3 | 18 | 21 | 41 | 86 | 10 | 85 | 33 | 13 | 25 | 9.09% | 52 | 13.94 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 83 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
9 | Ross Colton | 0 | C/LW | 66 | 7 | 13 | 20 | 7 | 12 | 0 | 70 | 121 | 45 | 95 | 5.79% | 4 | 10.68 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 1 | 4 | 0 | 46.42% | 907 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
10 | Sonny Milano | 0 | LW/RW | 66 | 7 | 12 | 19 | 3 | 8 | 0 | 15 | 87 | 24 | 63 | 8.05% | 3 | 10.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 34.09% | 44 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
11 | Zach Whitecloud | 0 | D | 66 | 0 | 17 | 17 | 16 | 100 | 10 | 131 | 39 | 11 | 23 | 0.00% | 53 | 17.14 | 0 | 1 | 1 | 26 | 0 | 0 | 0 | 71 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
12 | Noel Acciari | 0 | C/RW | 66 | 12 | 5 | 17 | 6 | 34 | 0 | 89 | 107 | 24 | 53 | 11.21% | 18 | 12.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 252 | 4 | 2 | 49.64% | 139 | 0 | 0 | 1 | 0 | 0.42 | 0 | 0 | |
13 | Jalen Chatfield | 0 | D | 66 | 4 | 13 | 17 | 13 | 62 | 0 | 103 | 53 | 16 | 36 | 7.55% | 68 | 19.84 | 1 | 2 | 3 | 183 | 0 | 0 | 0 | 146 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
14 | Esa Lindell | 6 | D | 62 | 4 | 11 | 15 | 10 | 34 | 0 | 61 | 36 | 12 | 25 | 11.11% | 62 | 17.22 | 0 | 1 | 1 | 18 | 0 | 0 | 0 | 33 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
15 | Evan Rodrigues | 0 | C/LW/RW | 67 | 6 | 8 | 14 | -9 | 22 | 0 | 69 | 69 | 14 | 52 | 8.70% | 5 | 11.04 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 50 | 2 | 0 | 44.65% | 159 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
16 | Maxim Tsyplakov | 0 | RW | 66 | 7 | 5 | 12 | -2 | 20 | 0 | 88 | 59 | 23 | 70 | 11.86% | 3 | 10.10 | 0 | 0 | 0 | 22 | 0 | 0 | 0 | 0 | 1 | 1 | 58.97% | 39 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
17 | Eric Robinson | 0 | LW/RW | 66 | 5 | 4 | 9 | 3 | 6 | 0 | 42 | 50 | 8 | 34 | 10.00% | 6 | 9.39 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 66 | 1 | 0 | 54.35% | 46 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
18 | Matthew Highmore | 38 | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 5 | 0.00% | 0 | 9.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1123 | 163 | 296 | 459 | 205 | 531 | 35 | 1279 | 1725 | 486 | 1162 | 9.45% | 499 | 15.20 | 32 | 60 | 92 | 1417 | 0 | 0 | 0 | 1508 | 32 | 8 | 50.13% | 4179 | 0 | 0 | 1 | 1 | 0.54 | 3 | 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 | Jacob Markstrom | 57 | 37 | 18 | 1 | 0.931 | 2.20 | 3378 | 6 | 6 | 124 | 1797 | 0 | 3 | 3 | 0.833 | 6 | 56 | 6 | 13 | 3 | 1 | |
2 | David Rittich | 10 | 5 | 3 | 1 | 0.888 | 3.13 | 498 | 2 | 0 | 26 | 232 | 0 | 0 | 0 | 0.000 | 0 | 9 | 57 | 0 | 0 | 1 | |
Team Total or Average | 67 | 42 | 21 | 2 | 0.926 | 2.32 | 3876 | 8 | 6 | 150 | 2029 | 0 | 3 | 3 | 0.833 | 6 | 65 | 63 | 13 | 3 | 2 |
Projected Total Cap Hit | 81,612,406$ |
Projected Cap Space | 6,387,594$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 70,354,582$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Flames Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Newhook ![]() | C/LW/RW | 24 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | |||||
Brent Burns ![]() | D | 40 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Chris Kreider ![]() | LW/RW | 33 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | ||||
David Rittich ![]() | G | 32 | 1,255,000$ | 1,255,000$ | 1,255,000$ | UFA | |||||
Eric Robinson ![]() | LW/RW | 29 | 1,255,000$ | 1,255,000$ | UFA | ||||||
Esa Lindell ![]() | D | 30 | 5,800,000$ | 5,800,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |
Evan Rodrigues ![]() | C/LW/RW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Filip Chytil ![]() | C/LW | 25 | 3,000,000$ | 3,000,000$ | |||||||
Jacob Markstrom | G | 35 | 5,250,000$ | 5,250,000$ | UFA | ||||||
Jalen Chatfield ![]() | D | 28 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | |||
Matthew Highmore ![]() | C | 29 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Maxim Tsyplakov ![]() | RW | 26 | 950,000$ | 950,000$ | |||||||
Mikael Backlund ![]() | C | 36 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Nick Leddy ![]() | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Nicolas Hague ![]() | D | 26 | 2,294,150$ | 2,294,150$ | |||||||
Noel Acciari ![]() | C/RW | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Ross Colton ![]() | C/LW | 28 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||
Sonny Milano ![]() | LW/RW | 28 | 1,900,000$ | 1,900,000$ | 1,900,000$ | UFA | |||||
Stefan Noesen ![]() | RW | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Zach Whitecloud ![]() | D | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Jamsen ![]() | LW/RW | 22 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
Adam Werner ![]() | G | 27 | 0$ | UFA | |||||||
Alex-Olivier Voyer ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Alexander True ![]() | C/RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Andrei Altybarmakyan ![]() | RW | 26 | 0$ | ![]() | |||||||
Anthony Angello ![]() | C | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Arnaud Durandeau ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Axel Rindell ![]() | D | 24 | 0$ | ![]() | |||||||
Ben Harpur ![]() | D | 30 | 787,500$ | 787,500$ | UFA | ||||||
Ben Jones ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Brendan Lemieux ![]() | LW/RW | 29 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Brian Halonen ![]() | LW/RW | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Callahan Burke ![]() | RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Chris Jandric ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Collin Delia ![]() | G | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Dakota Mermis ![]() | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Daniil Miromanov ![]() | RW/D | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Dennis Hildeby ![]() | G | 23 | 843,333$ | 843,333$ | RFA | ||||||
Dominic Toninato ![]() | C | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Gianni Fairbrother ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Jesper Sellgren ![]() | D | 26 | 0$ | ![]() | |||||||
John Hayden ![]() | RW | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Kalle Vaisanen ![]() | LW | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Kevin Mandolese ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Kevin Rooney ![]() | C/LW/RW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Kyle Keyser ![]() | G | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Lucas Elvenes ![]() | C | 25 | 0$ | ![]() | |||||||
Ludovic Waeber ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Mark Friedman ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nic Petan ![]() | C/LW/RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Nicolas Meloche ![]() | D | 27 | 0$ | ![]() | |||||||
Noah Warren ![]() | D | 20 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
Troy Stecher ![]() | D | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Will Lockwood ![]() | RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
William Lagesson ![]() | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Wyatt Newpower ![]() | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Zac Dalpe ![]() | C | 35 | 800,000$ | 800,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 3 | 1 | 1 | 0 | 59 | 18 | 21 | 20 | 0 | 78 | 18 | 10 | 41 | 8 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 45 | 31 | 48 | 15 | 25 | 13 | 71.4% | 8.5% | 97.4% | 105.9 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 8 | 8 | 12 | 0 | 27 | 8 | 11 | 16 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 23 | 17 | 23 | 6 | 12 | 5 | 33.3% | 7.1% | 85.2% | 92.3 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 2 | 3 | 0 | 64 | 21 | 24 | 19 | 0 | 70 | 13 | 18 | 41 | 11 | 3 | 27.27% | 7 | 1 | 85.71% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 51 | 37 | 41 | 15 | 26 | 13 | 71.4% | 12.5% | 95.7% | 108.2 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 57 | 16 | 23 | 18 | 0 | 25 | 7 | 4 | 26 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 30 | 22 | 16 | 6 | 12 | 6 | 75.0% | 8.8% | 96.0% | 104.8 | DULL | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 3 | 4 | 2 | 0 | 65 | 19 | 28 | 18 | 0 | 64 | 13 | 12 | 38 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 48 | 34 | 45 | 14 | 25 | 12 | 66.7% | 13.8% | 92.2% | 106.0 | LUCKY | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 0 | 2 | 5 | 0 | 84 | 13 | 38 | 33 | 0 | 42 | 12 | 6 | 37 | 10 | 3 | 30.00% | 3 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 51 | 36 | 44 | 14 | 24 | 12 | 57.1% | 8.3% | 92.9% | 101.2 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 7 | 4 | 11 | 0 | 20 | 5 | 9 | 24 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 23 | 15 | 22 | 7 | 13 | 7 | 33.3% | 4.5% | 90.0% | 94.5 | Unlucky | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 12 | 19 | 0 | 1 | 2 | 1 | 4 | 0 | 64 | 21 | 19 | 24 | 0 | 52 | 18 | 16 | 43 | 11 | 3 | 27.27% | 7 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 45 | 30 | 48 | 14 | 25 | 13 | 80.0% | 10.9% | 98.1% | 109.0 | LUCKY | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 3 | 4 | 1 | 0 | 59 | 17 | 21 | 21 | 0 | 54 | 23 | 16 | 40 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 46 | 31 | 47 | 14 | 25 | 13 | 77.8% | 13.6% | 94.4% | 108.0 | LUCKY | |
10 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 9 | 14 | 1 | 0 | 3 | 1 | 1 | 0 | 85 | 38 | 25 | 21 | 1 | 69 | 17 | 12 | 48 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 50 | 36 | 46 | 14 | 25 | 12 | 40.0% | 5.9% | 88.4% | 94.3 | Unlucky | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 4 | 2 | 0 | 65 | 24 | 18 | 23 | 0 | 38 | 22 | 18 | 35 | 8 | 2 | 25.00% | 9 | 1 | 88.89% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 48 | 34 | 47 | 15 | 23 | 11 | 71.4% | 10.8% | 92.1% | 102.9 | LUCKY | |
12 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 0.750 | 12 | 23 | 35 | 0 | 1 | 5 | 3 | 4 | 0 | 143 | 52 | 38 | 53 | 0 | 98 | 30 | 50 | 91 | 17 | 4 | 23.53% | 20 | 1 | 95.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 98 | 66 | 92 | 29 | 49 | 24 | 57.1% | 8.4% | 92.9% | 101.2 | DULL | |
13 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 20 | 31 | 1 | 0 | 3 | 6 | 2 | 0 | 96 | 35 | 33 | 28 | 0 | 96 | 27 | 26 | 58 | 13 | 2 | 15.38% | 13 | 3 | 76.92% | 1 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 70 | 47 | 71 | 22 | 37 | 18 | 69.2% | 11.5% | 92.7% | 104.2 | LUCKY | |
14 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 6 | 1.000 | 12 | 22 | 34 | 0 | 0 | 4 | 6 | 2 | 0 | 141 | 44 | 46 | 51 | 0 | 68 | 22 | 18 | 66 | 18 | 5 | 27.78% | 5 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 83 | 60 | 59 | 21 | 37 | 20 | 63.6% | 8.5% | 94.1% | 102.6 | DULL | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 2 | 3 | 1 | 0 | 69 | 17 | 30 | 22 | 0 | 47 | 18 | 16 | 55 | 10 | 2 | 20.00% | 7 | 1 | 85.71% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 53 | 37 | 42 | 15 | 24 | 12 | 80.0% | 8.7% | 95.7% | 104.4 | DULL | |
16 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 2 | 1 | 67 | 26 | 15 | 25 | 1 | 60 | 17 | 19 | 37 | 8 | 3 | 37.50% | 7 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 45 | 31 | 51 | 15 | 27 | 13 | 20.0% | 6.0% | 93.3% | 99.3 | DULL | |
17 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 18 | 28 | 0 | 1 | 3 | 3 | 3 | 1 | 100 | 29 | 32 | 38 | 1 | 85 | 27 | 32 | 66 | 11 | 5 | 45.45% | 16 | 2 | 87.50% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 69 | 45 | 73 | 22 | 38 | 18 | 50.0% | 10.0% | 91.8% | 101.8 | LUCKY | |
18 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 5 | 0 | 2 | 63 | 16 | 21 | 23 | 5 | 84 | 24 | 24 | 43 | 9 | 2 | 22.22% | 11 | 3 | 72.73% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 45 | 30 | 55 | 15 | 24 | 11 | 66.7% | 12.7% | 92.9% | 105.6 | LUCKY | |
19 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 1 | 4 | 1 | 2 | 78 | 26 | 28 | 18 | 9 | 73 | 16 | 20 | 41 | 9 | 4 | 44.44% | 9 | 1 | 88.89% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 51 | 37 | 50 | 14 | 24 | 12 | 44.4% | 10.3% | 91.8% | 102.0 | LUCKY | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 67 | 19 | 23 | 25 | 0 | 66 | 16 | 8 | 50 | 11 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 45 | 31 | 50 | 13 | 24 | 12 | 33.3% | 6.0% | 86.4% | 92.3 | Unlucky | |
21 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 5 | 5 | 5 | 0.833 | 10 | 20 | 30 | 0 | 1 | 4 | 3 | 3 | 0 | 108 | 34 | 39 | 33 | 2 | 93 | 35 | 36 | 74 | 10 | 2 | 20.00% | 15 | 2 | 86.67% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 72 | 50 | 69 | 21 | 38 | 20 | 72.7% | 9.3% | 94.6% | 103.9 | LUCKY | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 55 | 17 | 24 | 14 | 0 | 64 | 22 | 14 | 49 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 45 | 30 | 47 | 14 | 26 | 13 | 50.0% | 9.1% | 92.2% | 101.3 | LUCKY | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 0 | 4 | 0 | 72 | 21 | 25 | 26 | 0 | 81 | 26 | 20 | 37 | 8 | 2 | 25.00% | 10 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 45 | 30 | 49 | 14 | 24 | 12 | 62.5% | 9.7% | 96.3% | 106.0 | LUCKY | |
24 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 129 | 45 | 39 | 45 | 0 | 94 | 29 | 19 | 63 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 76 | 54 | 65 | 20 | 37 | 18 | 37.5% | 5.4% | 86.2% | 91.6 | Unlucky | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 55 | 18 | 18 | 19 | 0 | 68 | 21 | 18 | 34 | 10 | 1 | 10.00% | 9 | 1 | 88.89% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 41 | 27 | 52 | 16 | 26 | 12 | 25.0% | 5.5% | 89.7% | 95.2 | Unlucky | |
26 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 5 | 2 | 2 | 1 | 52 | 16 | 20 | 14 | 2 | 64 | 15 | 18 | 43 | 8 | 2 | 25.00% | 8 | 0 | 100.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 46 | 31 | 51 | 15 | 26 | 13 | 72.7% | 19.2% | 95.3% | 114.5 | LUCKY | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 7 | 8 | 14 | 0 | 27 | 10 | 8 | 27 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 24 | 16 | 23 | 7 | 12 | 6 | 25.0% | 3.4% | 85.2% | 88.6 | Unlucky | |
28 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 72 | 22 | 25 | 20 | 5 | 69 | 22 | 23 | 38 | 7 | 1 | 14.29% | 9 | 3 | 66.67% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 47 | 33 | 51 | 15 | 25 | 12 | 62.5% | 8.3% | 91.3% | 99.6 | DULL | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 64 | 25 | 15 | 24 | 0 | 66 | 18 | 14 | 36 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 44 | 31 | 52 | 13 | 22 | 10 | 60.0% | 10.9% | 92.4% | 103.4 | LUCKY | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 6 | 0 | 0 | 93 | 16 | 41 | 36 | 0 | 53 | 12 | 21 | 39 | 12 | 4 | 33.33% | 7 | 3 | 57.14% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 51 | 36 | 43 | 13 | 25 | 12 | 75.0% | 7.5% | 92.5% | 100.0 | DULL | |
31 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 19 | 30 | 0 | 0 | 4 | 5 | 2 | 0 | 115 | 39 | 41 | 35 | 0 | 90 | 23 | 22 | 69 | 11 | 2 | 18.18% | 10 | 2 | 80.00% | 0 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 73 | 52 | 67 | 21 | 38 | 19 | 64.3% | 9.6% | 92.2% | 101.8 | LUCKY | |
_Vs Division | 18 | 11 | 5 | 0 | 1 | 1 | 0 | 0 | 55 | 41 | 14 | 25 | 0.694 | 55 | 99 | 154 | 1 | 1 | 17 | 23 | 14 | 1 | 633 | 211 | 201 | 220 | 1 | 531 | 148 | 170 | 364 | 78 | 17 | 21.79% | 73 | 11 | 84.93% | 1 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 425 | 293 | 430 | 133 | 227 | 112 | 55.9% | 8.7% | 92.3% | 101.0 | DULL | |
_Vs Conference | 38 | 24 | 8 | 0 | 3 | 2 | 1 | 0 | 126 | 85 | 41 | 58 | 0.763 | 126 | 231 | 357 | 1 | 3 | 39 | 51 | 32 | 5 | 1375 | 432 | 454 | 480 | 11 | 1099 | 334 | 341 | 791 | 159 | 39 | 24.53% | 147 | 22 | 85.03% | 1 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 919 | 637 | 896 | 280 | 478 | 238 | 58.0% | 9.2% | 92.3% | 101.4 | LUCKY | |
_Since Last GM Reset | 66 | 38 | 18 | 0 | 5 | 3 | 2 | 0 | 213 | 149 | 64 | 93 | 0.705 | 213 | 385 | 598 | 2 | 7 | 72 | 78 | 56 | 8 | 2320 | 726 | 790 | 783 | 26 | 1985 | 586 | 558 | 1405 | 271 | 60 | 22.14% | 239 | 35 | 85.36% | 1 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 1600 | 1113 | 1553 | 484 | 833 | 418 | 57.3% | 9.2% | 92.5% | 101.7 | LUCKY | |
Total | 66 | 38 | 18 | 0 | 5 | 3 | 2 | 0 | 213 | 149 | 64 | 93 | 0.705 | 213 | 385 | 598 | 2 | 7 | 72 | 78 | 56 | 8 | 2320 | 726 | 790 | 783 | 26 | 1985 | 586 | 558 | 1405 | 271 | 60 | 22.14% | 239 | 35 | 85.36% | 1 | 1318 | 2536 | 51.97% | 1221 | 2338 | 52.22% | 558 | 1010 | 55.25% | 1600 | 1113 | 1553 | 484 | 833 | 418 | 57.3% | 9.2% | 92.5% | 101.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2536 |
Neutral Zone Start | 1010 |
Defensive Zone Start | 2338 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3097 |
Faceoffs Lost | 2787 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 34.8 | 30.68 |
Overtime | 35.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 150 |
---|---|
PP Goal | 60 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 23 | 22 |
Lost | 8 | 10 |
Overtime Lost | 3 | 0 |
PP Attempt | 271 |
---|---|
PP Goal | 60 |
PK Attempt | 239 |
PK Goal Against | 35 |
Home | |
---|---|
Shots For | 35.2 |
Shots Against | 30.1 |
Goals For | 3.2 |
Goals Against | 2.3 |
Hits | 21.3 |
Shots Blocked | 8.9 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-11 | @ | Flames2,Canucks3 | RECAP | |||||||||||
2024-10-14 | @ | Flyers0,Flames4 | RECAP | |||||||||||
2024-10-15 | @ | Flames2,Oilers1 (OT) | RECAP | |||||||||||
2024-10-17 | @ | Blackhawks2,Flames5 | RECAP | |||||||||||
2024-10-21 | @ | Flames3,Kraken2 | RECAP | |||||||||||
2024-10-24 | @ | Penguins3,Flames2 | RECAP | |||||||||||
2024-10-26 | @ | Hurricanes4,Flames3 | RECAP | |||||||||||
2024-10-28 | @ | Jets3,Flames4 | RECAP | |||||||||||
2024-10-30 | @ | Flames3,Golden Knights2 | RECAP | |||||||||||
2024-11-01 | @ | Flames3,Hockey Club2 | RECAP | |||||||||||
2024-11-03 | @ | Devils4,Flames2 | RECAP | |||||||||||
2024-11-05 | @ | Oilers3,Flames2 (OT) | RECAP | |||||||||||
2024-11-07 | @ | Flames4,Canadiens3 | RECAP | |||||||||||
2024-11-09 | @ | Flames3,Bruins2 (OT) | RECAP | |||||||||||
2024-11-11 | @ | Flames2,Sabres4 | RECAP | |||||||||||
2024-11-13 | @ | Kings1,Flames5 | RECAP | |||||||||||
2024-11-14 | @ | Flames3,Canucks2 | RECAP | |||||||||||
2024-11-17 | @ | Predators1,Flames3 | RECAP | |||||||||||
2024-11-21 | @ | Islanders1,Flames5 | RECAP | |||||||||||
2024-11-23 | @ | Rangers2,Flames1 | RECAP | |||||||||||
2024-11-25 | @ | Wild1,Flames3 | RECAP | |||||||||||
2024-11-27 | @ | Flames3,Senators1 | RECAP | |||||||||||
2024-11-29 | @ | Flames4,Red Wings0 | RECAP | |||||||||||
2024-12-01 | @ | Flames2,Blue Jackets1 | RECAP | |||||||||||
2024-12-02 | @ | Flames4,Penguins3 (OT) | RECAP | |||||||||||
2024-12-05 | @ | Blue Jackets2,Flames5 | RECAP | |||||||||||
2024-12-07 | @ | Blues3,Flames4 (OT) | RECAP | |||||||||||
2024-12-10 | @ | Flames7,Stars1 | RECAP | |||||||||||
2024-12-12 | @ | Flames4,Predators2 | RECAP | |||||||||||
2024-12-14 | @ | Lightning0,Flames3 | RECAP | |||||||||||
2024-12-16 | @ | Panthers1,Flames3 | RECAP | |||||||||||
2024-12-19 | @ | Bruins4,Flames5 (SO) | RECAP | |||||||||||
2024-12-21 | @ | Senators2,Flames5 | RECAP | |||||||||||
2024-12-23 | @ | Blackhawks3,Flames2 (OT) | RECAP | |||||||||||
2024-12-30 | @ | Flames4,Sharks1 | RECAP | |||||||||||
2024-12-31 | @ | Flames4,Golden Knights2 | RECAP | |||||||||||
2025-01-02 | @ | Canucks0,Flames3 | RECAP | |||||||||||
2025-01-04 | @ | Hockey Club4,Flames5 (SO) | RECAP | |||||||||||
2025-01-06 | @ | Predators1,Flames5 | RECAP | |||||||||||
2025-01-09 | @ | Flames1,Ducks3 | RECAP | |||||||||||
2025-01-10 | @ | Flames2,Kings4 | RECAP | |||||||||||
2025-01-13 | @ | Kings2,Flames4 | RECAP | |||||||||||
2025-01-15 | @ | Flames3,Blackhawks0 | RECAP | |||||||||||
2025-01-16 | @ | Flames2,Blues4 | RECAP | |||||||||||
2025-01-18 | @ | Flames4,Blues0 | RECAP | |||||||||||
2025-01-20 | @ | Flames2,Jets6 | RECAP | |||||||||||
2025-01-25 | @ | Sabres5,Flames2 | RECAP | |||||||||||
2025-01-27 | @ | Flames4,Wild2 | RECAP | |||||||||||
2025-01-28 | @ | Flames1,Jets4 | RECAP | |||||||||||
2025-01-30 | @ | Capitals4,Flames3 (OT) | RECAP | |||||||||||
2025-02-01 | @ | Ducks4,Flames2 | RECAP | |||||||||||
2025-02-03 | @ | Red Wings1,Flames3 | RECAP | |||||||||||
2025-02-04 | @ | Flames4,Kraken2 | RECAP | |||||||||||
2025-02-06 | @ | Maple Leafs4,Flames1 | RECAP | |||||||||||
2025-02-08 | @ | Avalanche2,Flames5 | RECAP | |||||||||||
2025-02-10 | @ | Kraken3,Flames4 | RECAP | |||||||||||
2025-02-25 | @ | Sharks4,Flames3 | RECAP | |||||||||||
2025-02-27 | @ | Flames2,Capitals4 | RECAP | |||||||||||
2025-03-01 | @ | Flames3,Lightning2 | RECAP | |||||||||||
2025-03-03 | @ | Flames2,Panthers4 | RECAP | |||||||||||
2025-03-04 | @ | Flames6,Hurricanes1 | RECAP | |||||||||||
2025-03-06 | @ | Flames1,Flyers2 | RECAP | |||||||||||
2025-03-08 | @ | Flames3,Stars2 (OT) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Canadiens0,Flames4 | RECAP | |||||||||||
2025-03-14 | @ | Canucks2,Flames4 | RECAP | |||||||||||
2025-03-16 | @ | Avalanche1,Flames2 | RECAP | |||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-02 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-09 | @ | |||||||||||||
2025-04-11 | @ | |||||||||||||
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2025-04-17 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
68,954,150$ | 0$ | 81,612,406$ | 19,045,850$ |
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 | 196511 | 164001 | 65572 | 131782 | 32071 |
Attendance PCT | 96.33% | 96.47% | 96.43% | 96.90% | 94.33% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 17351 - 96.39% | 1,586,571$ | 53,943,410$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
68,954,150$ | 68,954,150$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
71,191,310$ | 351,807$ | 70,354,582$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
11,105,996$ | 32 | 356,909$ | 11,421,088$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
11,765,878$ | 68,954,150$ | 37,915,923$ | 37,256,041$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aatos Koivu | 2024 | 60 | |||
Alex Pharand | 2023 | 121 | |||
Austin Baker | 2024 | 220 | |||
Caden Price | 2023 | 52 | |||
Charles Beaudoin | 2020 | 151 | |||
Eric Hjorth | 2019 | 119 | 3.0 - 3.0 | ||
George Fegaras | 2022 | 100 | |||
Guillaume Richard | 2021 | 116 | |||
Gustav Berglund | 2019 | 181 | |||
Ilya Ivantsov | 2021 | 179 | |||
Juuso Maenpaa | 2020 | 84 | |||
Kalan Lind | 2023 | 55 | |||
Mackade Webster | 2019 | 212 | |||
Matias Rajaniemi | 2020 | 135 | |||
Nate Schweitzer | 2020 | 154 | |||
Oskar Magnusson | 2020 | 87 | |||
Reid Valade | 2020 | 195 | |||
Tucker Tynan | 2020 | 143 |
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