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Full Scoreboard »» |
| Calgary Flames 17-20-6, 40pts · 13th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonathan Marchessault | 0 | LW/RW | 97.00 | 69 | 34 | 86 | 68 | 68 | 84 | 87 | 66 | 59 | 71 | 72 | 52 | 69 | 84 | 83 | 0 | 39 | 79 | 35 | 6,250,000$/3yrs | |||
Mikael Backlund | 0 | C | 96.00 | 61 | 33 | 88 | 66 | 79 | 85 | 89 | 64 | 89 | 67 | 69 | 75 | 66 | 88 | 94 | 0 | 38 | 79 | 36 | 5,500,000$/1yrs | |||
Ross Colton | 0 | C/LW | 100.00 | 83 | 35 | 90 | 65 | 75 | 78 | 86 | 62 | 61 | 65 | 69 | 61 | 65 | 74 | 73 | 0 | 38 | 77 | 29 | 4,250,000$/4yrs | |||
Filip Chytil | 0 | C/LW | 100.00 | 59 | 33 | 86 | 68 | 81 | 80 | 78 | 65 | 80 | 64 | 72 | 52 | 68 | 69 | 67 | 0 | 38 | 76 | 26 | 4,400,000$/2yrs | |||
Stefan Noesen | 23 | RW | 100.00 | 75 | 44 | 77 | 64 | 80 | 79 | 88 | 62 | 73 | 64 | 70 | 57 | 66 | 80 | 78 | 0 | 34 | 76 | 32 | 3,000,000$/1yrs | |||
Evan Rodrigues | 0 | C/LW/RW | 100.00 | 72 | 32 | 84 | 62 | 71 | 81 | 90 | 63 | 76 | 65 | 67 | 58 | 65 | 79 | 78 | 0 | 38 | 75 | 32 | 3,000,000$/3yrs | |||
Noel Acciari | 0 | C/RW | 100.00 | 80 | 35 | 88 | 55 | 78 | 77 | 87 | 57 | 81 | 59 | 59 | 84 | 58 | 83 | 81 | 0 | 38 | 74 | 34 | 3,000,000$/1yrs | |||
Alex Newhook | 0 | C/LW/RW | 100.00 | 70 | 32 | 88 | 64 | 72 | 80 | 86 | 63 | 75 | 62 | 69 | 57 | 66 | 66 | 65 | 0 | 29 | 74 | 24 | 2,900,000$/2yrs | |||
Anthony Duclair | 0 | LW/RW | 100.00 | 59 | 33 | 92 | 60 | 75 | 78 | 82 | 58 | 59 | 61 | 63 | 57 | 61 | 76 | 75 | 0 | 38 | 72 | 30 | 4,250,000$/4yrs | |||
Kevin Rooney | 17 | C/LW/RW | 100.00 | 74 | 33 | 92 | 55 | 76 | 70 | 80 | 54 | 76 | 56 | 59 | 72 | 57 | 80 | 79 | 0 | 41 | 71 | 32 | 1,000,000$/1yrs | |||
Sonny Milano | 0 | LW/RW | 100.00 | 56 | 33 | 94 | 56 | 75 | 70 | 71 | 56 | 61 | 59 | 65 | 48 | 61 | 74 | 74 | 0 | 38 | 70 | 29 | 1,900,000$/1yrs | |||
Esa Lindell | 6 | D | 100.00 | 62 | 34 | 93 | 60 | 88 | 92 | 90 | 62 | 30 | 68 | 59 | 80 | 61 | 78 | 78 | 0 | 38 | 79 | 31 | 5,250,000$/5yrs | |||
Nate Schmidt | 0 | D | 100.00 | 68 | 37 | 89 | 56 | 76 | 84 | 90 | 55 | 30 | 63 | 58 | 64 | 56 | 83 | 82 | 0 | 38 | 74 | 34 | 4,000,000$/3yrs | |||
Nicolas Hague | 0 | D | 100.00 | 72 | 47 | 76 | 55 | 94 | 84 | 86 | 54 | 30 | 61 | 58 | 63 | 56 | 70 | 68 | 0 | 38 | 72 | 27 | 3,000,000$/3yrs | |||
Jalen Chatfield | 0 | D | 100.00 | 64 | 37 | 79 | 56 | 75 | 86 | 88 | 54 | 30 | 62 | 58 | 64 | 56 | 74 | 72 | 0 | 42 | 72 | 29 | 3,200,000$/3yrs | |||
Zach Whitecloud | 0 | D | 100.00 | 75 | 35 | 83 | 55 | 82 | 84 | 89 | 52 | 30 | 59 | 56 | 64 | 54 | 73 | 72 | 0 | 38 | 71 | 29 | 2,750,000$/3yrs | |||
Nick Leddy | 0 | D | 100.00 | 55 | 33 | 93 | 55 | 79 | 85 | 75 | 51 | 30 | 60 | 56 | 63 | 54 | 83 | 83 | 0 | 24 | 71 | 34 | 4,000,000$/1yrs | |||
Daniil Miromanov | 0 | RWD | 100.00 | 60 | 33 | 90 | 58 | 82 | 84 | 75 | 53 | 30 | 61 | 56 | 61 | 54 | 72 | 71 | 0 | 19 | 71 | 28 | 1,250,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Matthew Highmore | 38 | C | 100.00 | 71 | 32 | 91 | 55 | 72 | 73 | 74 | 53 | 65 | 58 | 56 | 66 | 55 | 75 | 74 | 0 | 24 | 70 | 29 | 900,000$/1yrs | |||
| TEAM AVERAGE | 99.63 | 68 | 35 | 87 | 60 | 78 | 81 | 84 | 58 | 56 | 62 | 63 | 63 | 60 | 77 | 76 | 0 | 35 | 74 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
David Rittich | 0 | 100.00 | 71 | 84 | 76 | 84 | 82 | 78 | 83 | 88 | 85 | 89 | 83 | 81 | 85 | 0 | 48 | 86 | 33 | 1,255,000$/1yrs |
Frederik Andersen | 0 | 95.00 | 69 | 78 | 73 | 96 | 76 | 72 | 78 | 86 | 80 | 86 | 78 | 86 | 89 | 0 | 46 | 84 | 36 | 3,000,000$/2yrs |
| Scratches | ||||||||||||||||||||
Daniil Tarasov | 0 | 100.00 | 70 | 76 | 72 | 82 | 75 | 68 | 77 | 85 | 78 | 84 | 77 | 70 | 74 | 0 | 20 | 81 | 26 | 1,300,000$/2yrs |
Carey Price | 0 | 100.00 | 60 | 62 | 66 | 88 | 57 | 57 | 60 | 60 | 60 | 57 | 60 | 83 | 86 | 0 | 25 | 69 | 38 | 10,500,000$/1yrs |
| TEAM AVERAGE | 98.75 | 68 | 75 | 72 | 88 | 73 | 69 | 75 | 80 | 76 | 79 | 75 | 80 | 84 | 0 | 35 | 80 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ryan Huska | 80 | 79 | 76 | 82 | 68 | 81 | 79 | CAN | 50 | 4 | 1,000,000$ |
| General Manager | Guillaume Papillon |
|---|
| 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 | Mikael Backlund | 0 | C | 43 | 9 | 33 | 42 | 3 | 16 | 0 | 33 | 146 | 44 | 117 | 6.16% | 17 | 20.28 | 1 | 9 | 10 | 153 | 0 | 1 | 1 | 195 | 3 | 0 | 57.32% | 1373 | 0 | 0 | 0 | 0 | 0.96 | 1 | 8 | |
| 2 | Jonathan Marchessault | 0 | LW/RW | 41 | 14 | 17 | 31 | 1 | 24 | 0 | 61 | 142 | 50 | 103 | 9.86% | 4 | 19.07 | 2 | 4 | 6 | 88 | 1 | 0 | 1 | 39 | 2 | 1 | 36.21% | 58 | 0 | 0 | 0 | 1 | 0.79 | 0 | 3 | |
| 3 | Esa Lindell | 6 | D | 43 | 7 | 23 | 30 | -11 | 22 | 0 | 64 | 104 | 35 | 66 | 6.73% | 83 | 24.24 | 5 | 6 | 11 | 154 | 0 | 0 | 0 | 161 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.58 | 0 | 0 | |
| 4 | Evan Rodrigues | 0 | C/LW/RW | 43 | 10 | 14 | 24 | -4 | 20 | 0 | 54 | 118 | 29 | 74 | 8.47% | 3 | 19.58 | 1 | 9 | 10 | 127 | 0 | 0 | 0 | 96 | 1 | 2 | 49.01% | 253 | 0 | 0 | 0 | 0 | 0.57 | 2 | 2 | |
| 5 | Stefan Noesen | 23 | RW | 43 | 12 | 11 | 23 | -1 | 55 | 5 | 83 | 94 | 14 | 50 | 12.77% | 7 | 17.71 | 3 | 1 | 4 | 152 | 0 | 0 | 0 | 129 | 0 | 1 | 37.18% | 78 | 0 | 0 | 0 | 0 | 0.60 | 1 | 7 | |
| 6 | Ross Colton | 0 | C/LW | 43 | 10 | 10 | 20 | -7 | 40 | 0 | 79 | 105 | 40 | 60 | 9.52% | 11 | 18.52 | 3 | 3 | 6 | 126 | 0 | 0 | 0 | 40 | 2 | 0 | 48.92% | 834 | 0 | 0 | 0 | 0 | 0.50 | 0 | 2 | |
| 7 | Anthony Duclair | 0 | LW/RW | 43 | 8 | 9 | 17 | -3 | 8 | 0 | 33 | 125 | 32 | 75 | 6.40% | 9 | 17.67 | 3 | 4 | 7 | 120 | 0 | 0 | 0 | 25 | 2 | 0 | 47.50% | 40 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 8 | Nicolas Hague | 0 | D | 43 | 4 | 13 | 17 | -1 | 58 | 20 | 75 | 39 | 11 | 18 | 10.26% | 49 | 17.56 | 1 | 0 | 1 | 45 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 9 | Filip Chytil | 0 | C/LW | 43 | 7 | 9 | 16 | -7 | 0 | 0 | 22 | 87 | 22 | 49 | 8.05% | 4 | 16.89 | 2 | 1 | 3 | 51 | 0 | 0 | 0 | 69 | 1 | 1 | 54.50% | 189 | 0 | 0 | 0 | 1 | 0.44 | 1 | 6 | |
| 10 | Nick Leddy | 0 | D | 31 | 5 | 10 | 15 | 0 | 12 | 0 | 29 | 42 | 15 | 35 | 11.90% | 34 | 22.40 | 2 | 4 | 6 | 105 | 0 | 0 | 0 | 107 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 11 | Noel Acciari | 0 | C/RW | 43 | 7 | 7 | 14 | -2 | 14 | 0 | 32 | 54 | 16 | 35 | 12.96% | 14 | 7.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.45% | 333 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
| 12 | Sonny Milano | 0 | LW/RW | 43 | 5 | 9 | 14 | 0 | 8 | 0 | 9 | 50 | 17 | 47 | 10.00% | 2 | 9.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.31% | 26 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
| 13 | Zach Whitecloud | 0 | D | 43 | 3 | 10 | 13 | -3 | 38 | 0 | 84 | 45 | 24 | 43 | 6.67% | 61 | 21.25 | 2 | 3 | 5 | 124 | 0 | 1 | 1 | 122 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 14 | Alex Newhook | 0 | C/LW/RW | 36 | 2 | 11 | 13 | -2 | 4 | 0 | 30 | 67 | 15 | 64 | 2.99% | 7 | 14.99 | 0 | 1 | 1 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 45.85% | 530 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 15 | Nate Schmidt | 0 | D | 43 | 3 | 7 | 10 | -14 | 46 | 0 | 67 | 39 | 11 | 27 | 7.69% | 53 | 21.66 | 2 | 4 | 6 | 128 | 0 | 0 | 0 | 121 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 16 | Kevin Rooney | 17 | C/LW/RW | 40 | 4 | 4 | 8 | -8 | 6 | 0 | 26 | 50 | 14 | 34 | 8.00% | 3 | 7.53 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 61.54% | 39 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 17 | Jalen Chatfield | 0 | D | 43 | 1 | 5 | 6 | -1 | 44 | 10 | 66 | 20 | 1 | 13 | 5.00% | 31 | 15.03 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 18 | Matthew Highmore | 38 | C | 25 | 0 | 2 | 2 | -7 | 0 | 0 | 8 | 12 | 4 | 8 | 0.00% | 1 | 8.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
| 19 | Daniil Miromanov | 0 | RW/D | 22 | 0 | 1 | 1 | -3 | 0 | 0 | 15 | 7 | 2 | 7 | 0.00% | 16 | 12.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0 | 0 | 26.92% | 26 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | |
| Team Total or Average | 754 | 111 | 205 | 316 | -70 | 415 | 35 | 870 | 1346 | 396 | 925 | 8.25% | 409 | 16.72 | 27 | 49 | 76 | 1412 | 1 | 2 | 3 | 1211 | 13 | 7 | 51.69% | 3790 | 0 | 0 | 1 | 2 | 0.50 | 5 | 28 |
| 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 | Frederik Andersen | 27 | 9 | 14 | 4 | 0.901 | 3.39 | 1644 | 6 | 0 | 93 | 940 | 0 | 2 | 2 | 0.833 | 18 | 27 | 13 | 2 | 0 | 0 | |
| 2 | David Rittich | 13 | 7 | 5 | 1 | 0.927 | 2.50 | 793 | 0 | 0 | 33 | 452 | 0 | 0 | 0 | 0.667 | 6 | 13 | 30 | 2 | 0 | 2 | |
| 3 | Daniil Tarasov | 3 | 1 | 1 | 1 | 0.892 | 3.57 | 185 | 2 | 0 | 11 | 102 | 0 | 0 | 0 | 0.667 | 3 | 3 | 0 | 0 | 0 | 0 | |
| Team Total or Average | 43 | 17 | 20 | 6 | 0.908 | 3.14 | 2622 | 8 | 0 | 137 | 1494 | 0 | 2 | 2 | 0.778 | 27 | 43 | 43 | 4 | 0 | 2 |
| Projected Total Cap Hit | 78,793,090$ |
| Projected Cap Space | 16,706,910$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 37,617,901$ |
| Players In Salary Cap | 23 |
| LTIR Players | 0 |
| Flames Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Newhook ![]() | C/LW/RW | 24 | 2,900,000$ | 2,900,000$ | 2,900,000$ | ||||||
Anthony Duclair ![]() | LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
| Carey Price | G | 38 | 10,500,000$ | 10,500,000$ | UFA | ||||||
Daniil Miromanov | RW/D | 28 | 1,250,000$ | 1,250,000$ | |||||||
Daniil Tarasov ![]() | G | 26 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
David Rittich ![]() | G | 33 | 1,255,000$ | 1,255,000$ | UFA | ||||||
Esa Lindell ![]() | D | 31 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||
Evan Rodrigues ![]() | C/LW/RW | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Filip Chytil ![]() | C/LW | 26 | 4,400,000$ | 4,400,000$ | 4,400,000$ | ||||||
| Frederik Andersen | G | 36 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Jalen Chatfield ![]() | D | 29 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
Jonathan Marchessault ![]() | LW/RW | 35 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||||
Kevin Rooney | C/LW/RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Matthew Highmore | C | 29 | 900,000$ | 900,000$ | UFA | ||||||
Mikael Backlund ![]() | C | 36 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Nate Schmidt ![]() | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Nick Leddy ![]() | D | 34 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Nicolas Hague ![]() | D | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Noel Acciari ![]() | C/RW | 34 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Ross Colton ![]() | C/LW | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Sonny Milano ![]() | LW/RW | 29 | 1,900,000$ | 1,900,000$ | UFA | ||||||
Stefan Noesen ![]() | RW | 32 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Zach Whitecloud ![]() | D | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Jamsen | LW/RW | 23 | 852,500$ | 852,500$ | RFA | ||||||
Anthony Angello | C | 29 | 775,000$ | 775,000$ | UFA | ||||||
Arnaud Durandeau | LW | 26 | 800,000$ | 800,000$ | |||||||
Ben Jones | C | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Brendan Lemieux | LW/RW | 29 | 900,000$ | 900,000$ | UFA | ||||||
Brian Halonen | LW/RW | 26 | 900,000$ | 900,000$ | |||||||
Caden Price | D | 20 | 835,556$ | 835,556$ | 835,556$ | 835,556$ | RFA | ||||
Callahan Burke | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Chris Jandric | D | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Collin Delia | G | 31 | 775,000$ | 775,000$ | UFA | ||||||
Cooper Gay | LW/RW | 23 | 872,500$ | 872,500$ | 872,500$ | RFA | |||||
Dennis Hildeby | G | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Dominic Toninato | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Gianni Fairbrother | D | 25 | 800,000$ | 800,000$ | RFA | ||||||
Gleb Veremyev | C/LW | 22 | 885,000$ | 885,000$ | 885,000$ | RFA | |||||
Guillaume Richard | D | 22 | 0$ | RFA | |||||||
John Hayden | RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
John Prokop | D | 24 | 875,000$ | 875,000$ | RFA | ||||||
Kalan Lind | LW | 20 | 806,666$ | 806,666$ | 806,666$ | 806,666$ | RFA | ||||
Kalle Vaisanen | LW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Kevin Mandolese | G | 25 | 800,000$ | 800,000$ | RFA | ||||||
Lucas Condotta | LW | 28 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | UFA | ||||
Mark Friedman | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Noah Warren | D | 21 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
Owen Say | G | 24 | 872,500$ | 872,500$ | RFA | ||||||
Parker Ford | C/RW | 25 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | |||||
Troy Stecher | D | 31 | 800,000$ | 800,000$ | UFA | ||||||
Tyler Kopff | C/LW | 22 | 975,000$ | 975,000$ | RFA | ||||||
Will Lockwood | RW | 27 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Wyatt Newpower | D | 28 | 800,000$ | 800,000$ | |||||||
Zach Berzolla | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 61 | 26 | 13 | 22 | 0 | 66 | 24 | 26 | 42 | 9 | 2 | 22.22% | 13 | 2 | 84.62% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 39 | 25 | 55 | 16 | 25 | 10 | 33.3% | 4.9% | 93.9% | 98.9 | DULL | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 18 | 7 | 5 | 6 | 0 | 36 | 9 | 23 | 19 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 22 | 15 | 24 | 7 | 12 | 6 | 100.0% | 16.7% | 97.2% | 113.9 | LUCKY | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 5 | 9 | 15 | 0 | 31 | 10 | 13 | 18 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 22 | 15 | 24 | 8 | 13 | 6 | 33.3% | 3.4% | 90.3% | 93.8 | Unlucky | |
| 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 27 | 4 | 8 | 12 | 5 | 34 | 6 | 0 | 17 | 4 | 2 | 50.00% | 0 | 0 | 0.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 26 | 19 | 25 | 7 | 13 | 6 | 0.0% | 7.4% | 91.2% | 98.6 | DULL | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 31 | 13 | 10 | 8 | 0 | 28 | 8 | 11 | 18 | 4 | 1 | 25.00% | 3 | 3 | 0.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 21 | 14 | 26 | 7 | 12 | 6 | 80.0% | 16.1% | 85.7% | 101.8 | FUN | |
| 6 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 1 | 0 | 2 | 2 | 0 | 1 | 55 | 17 | 19 | 17 | 7 | 59 | 16 | 16 | 45 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 40 | 26 | 59 | 17 | 24 | 12 | 44.4% | 9.1% | 89.8% | 98.9 | FUN | |
| 7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 70 | 22 | 21 | 27 | 0 | 70 | 20 | 16 | 51 | 12 | 2 | 16.67% | 5 | 0 | 100.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 45 | 31 | 48 | 14 | 25 | 12 | 15.4% | 5.7% | 84.3% | 90.0 | Unlucky | |
| 8 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 3 | 4 | 1 | 1 | 76 | 19 | 29 | 27 | 4 | 59 | 16 | 16 | 45 | 4 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 45 | 30 | 51 | 16 | 28 | 13 | 69.2% | 11.8% | 93.2% | 105.1 | LUCKY | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 35 | 8 | 14 | 13 | 0 | 46 | 10 | 4 | 19 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 22 | 15 | 24 | 7 | 13 | 6 | 40.0% | 8.6% | 91.3% | 99.9 | DULL | |
| 10 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 10 | -4 | 3 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 94 | 36 | 34 | 24 | 0 | 116 | 32 | 30 | 49 | 17 | 4 | 23.53% | 15 | 3 | 80.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 70 | 48 | 72 | 22 | 38 | 18 | 22.2% | 6.4% | 91.4% | 97.8 | DULL | |
| 11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 39 | 15 | 14 | 8 | 2 | 30 | 4 | 10 | 25 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 22 | 14 | 24 | 8 | 12 | 6 | 50.0% | 12.8% | 86.7% | 99.5 | FUN | |
| 12 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 4 | 0 | 79 | 27 | 28 | 24 | 0 | 128 | 43 | 24 | 57 | 11 | 1 | 9.09% | 12 | 2 | 83.33% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 64 | 42 | 77 | 24 | 37 | 17 | 46.7% | 10.1% | 92.2% | 102.3 | LUCKY | |
| 13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 67 | 22 | 23 | 22 | 0 | 75 | 26 | 26 | 44 | 10 | 1 | 10.00% | 12 | 5 | 58.33% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 44 | 29 | 50 | 14 | 25 | 12 | 66.7% | 4.5% | 92.0% | 96.5 | DULL | |
| 14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 69 | 25 | 24 | 20 | 0 | 68 | 18 | 14 | 38 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 43 | 30 | 52 | 14 | 24 | 10 | 41.7% | 7.2% | 89.7% | 97.0 | Unlucky | |
| 15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 1 | 30 | 10 | 9 | 10 | 4 | 35 | 11 | 4 | 24 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 21 | 14 | 28 | 7 | 15 | 7 | 50.0% | 13.3% | 91.4% | 104.8 | LUCKY | |
| 16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 62 | 23 | 12 | 27 | 0 | 89 | 29 | 39 | 42 | 7 | 0 | 0.00% | 16 | 7 | 56.25% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 44 | 29 | 49 | 16 | 25 | 12 | 66.7% | 6.5% | 89.9% | 96.3 | Unlucky | |
| 17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 3 | 2 | 1 | 0 | 65 | 14 | 25 | 26 | 0 | 53 | 14 | 17 | 53 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 49 | 34 | 45 | 14 | 25 | 12 | 45.5% | 9.2% | 88.7% | 97.9 | FUN | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 1 | 9 | 0 | 44 | 8 | 22 | 10 | 2 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 23 | 15 | 25 | 7 | 11 | 6 | 0.0% | 0.0% | 93.2% | 93.2 | DULL | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 33 | 9 | 9 | 15 | 0 | 42 | 12 | 10 | 22 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 18 | 12 | 29 | 6 | 12 | 5 | 37.5% | 9.1% | 85.7% | 94.8 | FUN | |
| 20 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 10 | -2 | 4 | 0.667 | 8 | 16 | 24 | 0 | 0 | 3 | 3 | 1 | 1 | 83 | 37 | 22 | 23 | 1 | 92 | 22 | 23 | 52 | 7 | 1 | 14.29% | 9 | 3 | 66.67% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 66 | 44 | 74 | 23 | 40 | 19 | 50.0% | 9.6% | 89.1% | 98.8 | FUN | |
| 21 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 35 | 14 | 12 | 8 | 4 | 38 | 6 | 6 | 22 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 26 | 19 | 23 | 8 | 14 | 7 | 50.0% | 8.6% | 89.5% | 98.0 | Unlucky | |
| 22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 38 | 15 | 13 | 9 | 4 | 38 | 13 | 10 | 18 | 7 | 2 | 28.57% | 5 | 2 | 60.00% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 23 | 15 | 27 | 8 | 14 | 6 | 40.0% | 10.5% | 86.8% | 97.4 | FUN | |
| 23 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 43 | 20 | 11 | 12 | 0 | 53 | 18 | 14 | 35 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 42 | 27 | 52 | 14 | 26 | 12 | 28.6% | 7.0% | 88.7% | 95.7 | Unlucky | |
| 24 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 8 | 5 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 2 | 6 | 4 | 1 | 92 | 31 | 23 | 35 | 3 | 94 | 25 | 28 | 60 | 14 | 2 | 14.29% | 13 | 2 | 84.62% | 1 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 74 | 49 | 69 | 22 | 39 | 20 | 64.7% | 14.1% | 91.5% | 105.6 | LUCKY | |
| 25 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 1 | 1 | 3 | 2 | 97 | 34 | 21 | 36 | 14 | 72 | 11 | 21 | 41 | 13 | 3 | 23.08% | 8 | 1 | 87.50% | 0 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 57 | 42 | 46 | 15 | 26 | 12 | 37.5% | 6.2% | 91.7% | 97.9 | DULL | |
| _Vs Division | 13 | 4 | 4 | 0 | 1 | 1 | 2 | 1 | 42 | 38 | 4 | 16 | 0.615 | 42 | 72 | 114 | 0 | 0 | 10 | 16 | 13 | 4 | 422 | 139 | 126 | 147 | 21 | 452 | 123 | 107 | 257 | 51 | 8 | 15.69% | 50 | 7 | 86.00% | 1 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 306 | 208 | 321 | 101 | 171 | 82 | 52.3% | 10.0% | 91.6% | 101.5 | LUCKY | |
| _Vs Conference | 28 | 7 | 13 | 0 | 2 | 2 | 2 | 2 | 77 | 92 | -15 | 26 | 0.464 | 77 | 137 | 214 | 1 | 0 | 24 | 28 | 21 | 5 | 905 | 309 | 287 | 297 | 26 | 964 | 261 | 239 | 566 | 111 | 17 | 15.32% | 106 | 19 | 82.08% | 1 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 653 | 446 | 689 | 213 | 364 | 175 | 45.1% | 8.5% | 90.5% | 99.0 | Unlucky | |
| _Since Last GM Reset | 43 | 10 | 20 | 0 | 3 | 2 | 4 | 4 | 116 | 143 | -27 | 40 | 0.465 | 116 | 202 | 318 | 2 | 0 | 44 | 36 | 29 | 8 | 1343 | 458 | 409 | 455 | 48 | 1496 | 411 | 423 | 866 | 166 | 27 | 16.27% | 181 | 39 | 78.45% | 1 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 980 | 663 | 1088 | 332 | 558 | 268 | 46.1% | 8.6% | 90.4% | 99.1 | Unlucky | |
| Total | 43 | 10 | 20 | 0 | 3 | 2 | 4 | 4 | 116 | 143 | -27 | 40 | 0.465 | 116 | 202 | 318 | 2 | 0 | 44 | 36 | 29 | 8 | 1343 | 458 | 409 | 455 | 48 | 1496 | 411 | 423 | 866 | 166 | 27 | 16.27% | 181 | 39 | 78.45% | 1 | 794 | 1523 | 52.13% | 844 | 1612 | 52.36% | 361 | 667 | 54.12% | 980 | 663 | 1088 | 332 | 558 | 268 | 46.1% | 8.6% | 90.4% | 99.1 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1523 |
| Neutral Zone Start | 667 |
| Defensive Zone Start | 1612 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1999 |
| Faceoffs Lost | 1803 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.7 | 9.57 |
| 2nd Period | 20.2 | 20.31 |
| 3rd Period | 30.7 | 30.68 |
| Overtime | 31.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 86 |
|---|---|
| PP Goal | 27 |
| PK Goal | 1 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 11 | 6 |
| Lost | 7 | 13 |
| Overtime Lost | 3 | 3 |
| PP Attempt | 166 |
|---|---|
| PP Goal | 27 |
| PK Attempt | 181 |
| PK Goal Against | 39 |
| Home | |
|---|---|
| Shots For | 31.2 |
| Shots Against | 34.8 |
| Goals For | 2.7 |
| Goals Against | 3.3 |
| Hits | 20.1 |
| Shots Blocked | 9.6 |
| Pim | 9.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Flames2,Oilers4 | RECAP | |||||||||||
| 2025-10-10 | @ | Flames4,Canucks3 (SO) | RECAP | |||||||||||
| 2025-10-12 | @ | Blues4,Flames2 | RECAP | |||||||||||
| 2025-10-15 | @ | Golden Knights3,Flames5 | RECAP | |||||||||||
| 2025-10-16 | @ | Flames1,Mammoth2 | RECAP | |||||||||||
| 2025-10-19 | @ | Flames4,Golden Knights2 | RECAP | |||||||||||
| 2025-10-21 | @ | Jets2,Flames3 (OT) | RECAP | |||||||||||
| 2025-10-23 | @ | Canadiens2,Flames3 (SO) | RECAP | |||||||||||
| 2025-10-25 | @ | Flames1,Jets5 | RECAP | |||||||||||
| 2025-10-27 | @ | Rangers3,Flames2 (SO) | RECAP | |||||||||||
| 2025-10-29 | @ | Flames4,Maple Leafs5 (SO) | RECAP | |||||||||||
| 2025-10-31 | @ | Flames3,Senators1 | RECAP | |||||||||||
| 2025-11-02 | @ | Flames3,Predators1 | RECAP | |||||||||||
| 2025-11-03 | @ | Flames1,Flyers3 | RECAP | |||||||||||
| 2025-11-06 | @ | Blue Jackets6,Flames3 | RECAP | |||||||||||
| 2025-11-08 | @ | Blackhawks2,Flames4 | RECAP | |||||||||||
| 2025-11-10 | @ | Flames1,Wild7 | RECAP | |||||||||||
| 2025-11-12 | @ | Flames1,Blues2 | RECAP | |||||||||||
| 2025-11-14 | @ | Sharks3,Flames1 | RECAP | |||||||||||
| 2025-11-16 | @ | Jets3,Flames4 | RECAP | |||||||||||
| 2025-11-19 | @ | Flames2,Blackhawks4 | RECAP | |||||||||||
| 2025-11-20 | @ | Flames2,Sabres5 | RECAP | |||||||||||
| 2025-11-23 | @ | Stars4,Flames3 (SO) | RECAP | |||||||||||
| 2025-11-24 | @ | Flames5,Canucks1 | RECAP | |||||||||||
| 2025-11-27 | @ | Flames5,Lightning4 (OT) | RECAP | |||||||||||
| 2025-11-29 | @ | Flames0,Panthers3 | RECAP | |||||||||||
| 2025-12-01 | @ | Flames1,Hurricanes3 | RECAP | |||||||||||
| 2025-12-03 | @ | Flames2,Predators3 (OT) | RECAP | |||||||||||
| 2025-12-05 | @ | Wild4,Flames3 | RECAP | |||||||||||
| 2025-12-07 | @ | Mammoth5,Flames4 | RECAP | |||||||||||
| 2025-12-09 | @ | Sabres4,Flames2 | RECAP | |||||||||||
| 2025-12-11 | @ | Red Wings4,Flames5 | RECAP | |||||||||||
| 2025-12-14 | @ | Flames3,Kings4 | RECAP | |||||||||||
| 2025-12-17 | @ | Flames2,Sharks3 (OT) | RECAP | |||||||||||
| 2025-12-19 | @ | Kraken3,Flames4 (SO) | RECAP | |||||||||||
| 2025-12-21 | @ | Golden Knights3,Flames4 (OT) | RECAP | |||||||||||
| 2025-12-24 | @ | Flames1,Oilers4 | RECAP | |||||||||||
| 2025-12-28 | @ | Oilers2,Flames5 | RECAP | |||||||||||
| 2025-12-30 | @ | Bruins3,Flames4 (SO) | RECAP | |||||||||||
| 2026-01-01 | @ | Flyers1,Flames2 | RECAP | |||||||||||
| 2026-01-04 | @ | Predators6,Flames1 | RECAP | |||||||||||
| 2026-01-06 | @ | Kraken3,Flames2 (SO) | RECAP | |||||||||||
| 2026-01-08 | @ | Flames2,Canadiens4 | RECAP | |||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 79,855,000$ | 0$ | 78,793,090$ | 15,645,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Scotiabank Saddledome | |
| City | Calgary | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 116814 | 98314 | 38823 | 77799 | 19661 |
| Attendance PCT | 92.71% | 93.63% | 92.44% | 92.62% | 93.62% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 20 | 16734 - 92.97% | 1,536,242$ | 32,261,086$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 79,855,000$ | 79,855,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 38,102,279$ | 415,911$ | 37,617,901$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 30,724,844$ | 99 | 421,120$ | 41,690,880$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 43,110,807$ | 79,855,000$ | 34,895,670$ | 22,509,707$ |
Rookie
Injured
Cold Streak
Hot Streak | 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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| 2026 | ||||||||
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| 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 |
|---|---|---|---|---|---|
| Aidan Lane | 2025 | 185 | |||
| Alex Pharand | 2023 | 121 | |||
| Aron Dahlqvist | 2025 | 188 | |||
| Austin Baker | 2024 | 220 | |||
| Blake Fiddler | 2025 | 28 | |||
| Charles Beaudoin | 2020 | 151 | |||
| Eric Hjorth | 2019 | 119 | 3.0 - 3.0 | ||
| Everett Baldwin | 2025 | 158 | |||
| George Fegaras | 2022 | 100 | |||
| Gustav Berglund | 2019 | 181 | |||
| Ilya Ivantsov | 2021 | 179 | |||
| Jackson Crowder | 2025 | 177 | |||
| Jacob Rombach | 2025 | 56 | |||
| Juuso Maenpaa | 2020 | 84 | |||
| Kurban Limatov | 2025 | 38 | |||
| Mackade Webster | 2019 | 212 | |||
| Malcom Spence | 2025 | 25 | |||
| Mans Goos | 2025 | 164 | |||
| Matias Rajaniemi | 2020 | 135 | |||
| Nate Schweitzer | 2020 | 154 | |||
| Noah Read | 2025 | 90 | |||
| Oskar Magnusson | 2020 | 87 | |||
| Reid Valade | 2020 | 195 | |||
| Tucker Tynan | 2020 | 143 | |||
| Victor Raftheim-Hedin | 2025 | 196 | |||
| Yan Matveiko | 2025 | 217 |
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