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Full Scoreboard »» |
| Florida Panthers 18-20-4, 40pts · 12th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tom Wilson | 0 | RW | 99.00 | 87 | 46 | 56 | 76 | 89 | 86 | 90 | 74 | 59 | 73 | 82 | 77 | 78 | 79 | 75 | 0 | 47 | 86 | 31 | 6,500,000$/6yrs | |||
Josh Norris | 0 | C | 100.00 | 80 | 33 | 78 | 74 | 78 | 85 | 79 | 72 | 86 | 69 | 79 | 77 | 76 | 70 | 68 | 0 | 33 | 83 | 26 | 7,250,000$/3yrs | |||
Andrei Svechnikov | 0 | LW/RW | 98.00 | 78 | 35 | 73 | 74 | 78 | 83 | 88 | 67 | 60 | 73 | 73 | 53 | 70 | 68 | 65 | 0 | 43 | 80 | 25 | 7,750,000$/4yrs | |||
Mason Marchment | 0 | C/LW/RW | 100.00 | 71 | 36 | 68 | 70 | 85 | 81 | 85 | 68 | 60 | 72 | 75 | 54 | 71 | 76 | 73 | 0 | 43 | 80 | 30 | 3,700,000$/2yrs | |||
Cole Perfetti | 0 | C/LW | 100.00 | 66 | 32 | 91 | 68 | 71 | 80 | 87 | 65 | 59 | 71 | 67 | 58 | 66 | 65 | 64 | 0 | 43 | 77 | 24 | 4,000,000$/2yrs | |||
Thomas Novak | 0 | C | 100.00 | 53 | 32 | 96 | 65 | 72 | 79 | 84 | 66 | 75 | 68 | 71 | 56 | 68 | 72 | 71 | 0 | 43 | 76 | 28 | 3,500,000$/1yrs | |||
Yegor Sharangovich | 0 | C/LW | 100.00 | 56 | 33 | 96 | 66 | 78 | 82 | 88 | 62 | 73 | 63 | 69 | 59 | 66 | 71 | 71 | 0 | 43 | 75 | 27 | 5,750,000$/5yrs | |||
Vasily Podkolzin | 0 | LW/RW | 100.00 | 86 | 39 | 79 | 62 | 75 | 78 | 90 | 59 | 58 | 63 | 64 | 67 | 62 | 66 | 64 | 0 | 43 | 74 | 24 | 1,000,000$/1yrs | |||
Peyton Krebs | 0 | C/LW | 100.00 | 78 | 45 | 71 | 61 | 73 | 78 | 90 | 61 | 79 | 66 | 61 | 59 | 61 | 66 | 63 | 0 | 43 | 73 | 24 | 2,500,000$/1yrs | |||
Jack Drury | 0 | C | 100.00 | 62 | 32 | 88 | 61 | 68 | 77 | 88 | 59 | 85 | 61 | 63 | 71 | 61 | 68 | 67 | 0 | 43 | 73 | 25 | 2,500,000$/1yrs | |||
Yakov Trenin | 0 | C/LW | 100.00 | 95 | 39 | 78 | 56 | 80 | 76 | 90 | 55 | 60 | 61 | 59 | 68 | 57 | 73 | 71 | 0 | 46 | 72 | 28 | 3,500,000$/3yrs | |||
Colton Dach (R) | 0 | C/LW | 100.00 | 93 | 49 | 67 | 59 | 81 | 75 | 78 | 57 | 60 | 60 | 59 | 64 | 58 | 63 | 59 | 0 | 46 | 71 | 23 | 825,000$/1yrs | |||
Miro Heiskanen | 4 | D | 97.00 | 57 | 33 | 91 | 73 | 77 | 97 | 84 | 68 | 30 | 78 | 64 | 74 | 66 | 70 | 69 | 0 | 43 | 84 | 26 | 8,000,000$/4yrs | |||
Seth Jones | 0 | D | 100.00 | 72 | 34 | 87 | 67 | 86 | 95 | 86 | 65 | 30 | 74 | 66 | 75 | 65 | 78 | 77 | 0 | 33 | 83 | 31 | 9,500,000$/5yrs | |||
Jeremy Davies | 28 | D | 100.00 | 69 | 39 | 76 | 57 | 73 | 69 | 89 | 54 | 30 | 63 | 55 | 69 | 59 | 70 | 68 | 0 | 46 | 72 | 29 | 828,000$/2yrs | |||
Michael Kesselring | 0 | D | 100.00 | 68 | 46 | 65 | 60 | 79 | 84 | 86 | 53 | 30 | 65 | 59 | 59 | 56 | 68 | 65 | 0 | 43 | 72 | 25 | 1,500,000$/1yrs | |||
Kaedan Korczak | 0 | D | 100.00 | 74 | 33 | 91 | 57 | 82 | 81 | 81 | 53 | 30 | 64 | 56 | 60 | 54 | 66 | 65 | 0 | 43 | 72 | 24 | 825,000$/5yrs | |||
Josh Mahura | 0 | D | 100.00 | 70 | 32 | 64 | 55 | 72 | 79 | 79 | 53 | 30 | 54 | 57 | 72 | 55 | 71 | 67 | 0 | 25 | 70 | 27 | 1,250,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jonathan Lekkerimaki | 0 | C/RW | 100.00 | 64 | 32 | 97 | 62 | 67 | 75 | 72 | 58 | 55 | 59 | 63 | 53 | 60 | 60 | 60 | 0 | 19 | 70 | 21 | 950,000$/1yrs | |||
Leon Gawanke | 9 | D | 100.00 | 72 | 40 | 72 | 53 | 78 | 67 | 84 | 52 | 30 | 58 | 58 | 66 | 58 | 65 | 62 | 0 | 20 | 70 | 26 | 775,000$/1yrs | |||
Pierre-Olivier Joseph | 0 | D | 100.00 | 66 | 35 | 79 | 55 | 75 | 81 | 80 | 53 | 30 | 59 | 53 | 63 | 53 | 68 | 66 | 0 | 19 | 70 | 26 | 2,000,000$/2yrs | |||
Nikita Okhotyuk | 0 | D | 100.00 | 85 | 42 | 50 | 45 | 77 | 60 | 69 | 45 | 30 | 50 | 48 | 65 | 49 | 62 | 57 | 0 | 20 | 64 | 25 | 800,000$/2yrs | |||
| TEAM AVERAGE | 99.73 | 73 | 37 | 78 | 63 | 77 | 79 | 84 | 60 | 52 | 65 | 64 | 65 | 62 | 69 | 67 | 0 | 38 | 75 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joseph Woll | 0 | 100.00 | 82 | 86 | 77 | 83 | 87 | 78 | 88 | 89 | 87 | 90 | 88 | 72 | 76 | 0 | 34 | 88 | 27 | 3,750,000$/4yrs |
Jesper Wallstedt | 0 | 99.00 | 69 | 68 | 69 | 87 | 84 | 77 | 83 | 86 | 84 | 87 | 83 | 64 | 68 | 0 | 24 | 83 | 23 | 2,200,000$/2yrs |
| Scratches | ||||||||||||||||||||
Justus Annunen | 0 | 100.00 | 62 | 82 | 75 | 86 | 76 | 77 | 78 | 86 | 82 | 87 | 78 | 68 | 72 | 0 | 41 | 83 | 25 | 1,000,000$/1yrs |
| TEAM AVERAGE | 99.67 | 71 | 79 | 74 | 85 | 82 | 77 | 83 | 87 | 84 | 88 | 83 | 68 | 72 | 0 | 33 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Scott Arniel | 76 | 95 | 94 | 73 | 68 | 82 | 57 | CAN | 63 | 4 | 1,000,000$ |
| General Manager | Jean Francois Barette |
|---|
| 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 | Tom Wilson | 0 | RW | 42 | 14 | 27 | 41 | 3 | 102 | 10 | 156 | 204 | 60 | 144 | 6.86% | 26 | 20.15 | 3 | 5 | 8 | 117 | 0 | 0 | 0 | 133 | 1 | 0 | 41.76% | 352 | 0 | 0 | 0 | 0 | 0.97 | 0 | 2 | |
| 2 | Josh Norris | 0 | C | 39 | 15 | 20 | 35 | -1 | 14 | 0 | 54 | 143 | 52 | 107 | 10.49% | 11 | 19.79 | 4 | 7 | 11 | 119 | 0 | 0 | 0 | 64 | 2 | 3 | 47.82% | 1008 | 0 | 0 | 0 | 0 | 0.91 | 0 | 2 | |
| 3 | Andrei Svechnikov | 0 | LW/RW | 42 | 11 | 21 | 32 | -1 | 38 | 0 | 97 | 126 | 35 | 88 | 8.73% | 7 | 22.41 | 1 | 9 | 10 | 122 | 0 | 0 | 0 | 149 | 5 | 0 | 37.62% | 101 | 0 | 0 | 0 | 0 | 0.68 | 0 | 2 | |
| 4 | Yegor Sharangovich | 0 | C/LW | 42 | 16 | 14 | 30 | 3 | 0 | 0 | 5 | 130 | 34 | 75 | 12.31% | 7 | 14.12 | 5 | 4 | 9 | 87 | 0 | 0 | 0 | 50 | 1 | 1 | 48.65% | 74 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | |
| 5 | Miro Heiskanen | 4 | D | 42 | 9 | 19 | 28 | -16 | 24 | 0 | 61 | 76 | 28 | 50 | 11.84% | 82 | 26.88 | 3 | 5 | 8 | 130 | 0 | 0 | 0 | 186 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 6 | Mason Marchment | 0 | C/LW/RW | 42 | 11 | 14 | 25 | 5 | 18 | 0 | 34 | 98 | 20 | 80 | 11.22% | 4 | 17.07 | 2 | 4 | 6 | 114 | 0 | 0 | 0 | 81 | 2 | 0 | 45.93% | 209 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
| 7 | Thomas Novak | 0 | C | 42 | 9 | 9 | 18 | 5 | 0 | 0 | 0 | 53 | 28 | 40 | 16.98% | 2 | 14.11 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 0 | 0 | 1 | 46.91% | 729 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 8 | Cole Perfetti | 0 | C/LW | 42 | 9 | 9 | 18 | -2 | 6 | 0 | 8 | 90 | 40 | 63 | 10.00% | 6 | 19.08 | 3 | 1 | 4 | 108 | 0 | 0 | 0 | 64 | 1 | 1 | 39.86% | 148 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 9 | Michael Kesselring | 0 | D | 42 | 2 | 14 | 16 | 2 | 68 | 0 | 110 | 37 | 12 | 32 | 5.41% | 57 | 20.45 | 0 | 2 | 2 | 108 | 0 | 0 | 0 | 112 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 10 | Yakov Trenin | 0 | C/LW | 42 | 4 | 11 | 15 | 3 | 21 | 5 | 27 | 40 | 9 | 36 | 10.00% | 3 | 8.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 1 | 1 | 42.86% | 28 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
| 11 | Josh Mahura | 0 | D | 37 | 2 | 11 | 13 | 8 | 30 | 0 | 66 | 22 | 10 | 9 | 9.09% | 35 | 18.46 | 0 | 3 | 3 | 98 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 12 | Jack Drury | 0 | C | 42 | 6 | 6 | 12 | 6 | 6 | 0 | 12 | 49 | 9 | 42 | 12.24% | 3 | 10.91 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 46 | 0 | 0 | 47.47% | 592 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 13 | Kaedan Korczak | 0 | D | 42 | 4 | 7 | 11 | 5 | 20 | 0 | 82 | 34 | 7 | 15 | 11.76% | 56 | 21.59 | 2 | 1 | 3 | 81 | 0 | 0 | 0 | 146 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 14 | Seth Jones | 0 | D | 39 | 2 | 7 | 9 | -12 | 40 | 0 | 66 | 55 | 22 | 33 | 3.64% | 55 | 19.52 | 1 | 2 | 3 | 56 | 0 | 0 | 0 | 75 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 15 | Colton Dach | 0 | C/LW | 35 | 4 | 5 | 9 | -2 | 27 | 5 | 42 | 35 | 8 | 27 | 11.43% | 0 | 7.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.85% | 13 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 16 | Jeremy Davies | 28 | D | 25 | 0 | 6 | 6 | 9 | 20 | 0 | 46 | 8 | 1 | 7 | 0.00% | 26 | 16.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
| 17 | Pierre-Olivier Joseph | 0 | D | 20 | 0 | 6 | 6 | 9 | 16 | 0 | 30 | 4 | 3 | 3 | 0.00% | 22 | 14.64 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 18 | Peyton Krebs | 0 | C/LW | 42 | 2 | 4 | 6 | -3 | 4 | 0 | 11 | 26 | 9 | 21 | 7.69% | 5 | 8.74 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 41 | 1 | 1 | 57.04% | 284 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 19 | Vasily Podkolzin | 0 | LW/RW | 22 | 1 | 5 | 6 | 6 | 12 | 0 | 45 | 27 | 5 | 26 | 3.70% | 2 | 9.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23.53% | 17 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 20 | Jonathan Lekkerimaki | 0 | C/RW | 19 | 1 | 0 | 1 | -4 | 2 | 0 | 12 | 10 | 4 | 11 | 10.00% | 2 | 9.65 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 25 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| Team Total or Average | 740 | 122 | 215 | 337 | 23 | 468 | 20 | 964 | 1267 | 396 | 909 | 9.63% | 411 | 16.43 | 24 | 44 | 68 | 1198 | 0 | 0 | 0 | 1378 | 18 | 8 | 46.82% | 3580 | 0 | 0 | 0 | 0 | 0.55 | 0 | 6 |
| 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 | Joseph Woll | 25 | 9 | 12 | 3 | 0.905 | 3.33 | 1315 | 2 | 0 | 73 | 767 | 0 | 1 | 0 | 0.667 | 3 | 22 | 20 | 3 | 0 | 1 | |
| 2 | Justus Annunen | 13 | 8 | 2 | 1 | 0.906 | 2.96 | 729 | 2 | 1 | 36 | 382 | 0 | 0 | 0 | 0.500 | 2 | 13 | 6 | 1 | 2 | 0 | |
| 3 | Jesper Wallstedt | 11 | 1 | 6 | 0 | 0.904 | 3.50 | 497 | 4 | 0 | 29 | 303 | 0 | 0 | 1 | 0.000 | 0 | 7 | 16 | 0 | 0 | 0 | |
| Team Total or Average | 49 | 18 | 20 | 4 | 0.905 | 3.26 | 2542 | 8 | 1 | 138 | 1452 | 0 | 1 | 1 | 0.600 | 5 | 42 | 42 | 4 | 2 | 1 |
| Projected Total Cap Hit | 78,954,030$ |
| Projected Cap Space | 16,545,970$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 37,406,007$ |
| Players In Salary Cap | 25 |
| LTIR Players | 0 |
| Panthers Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Svechnikov ![]() | LW/RW | 25 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | |||
Cole Perfetti ![]() | C/LW | 24 | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | |||||
Colton Dach | C/LW | 23 | 825,000$ | 825,000$ | RFA | ||||||
Jack Drury ![]() | C | 25 | 2,500,000$ | 2,500,000$ | |||||||
Jeremy Davies | D | 29 | 828,000$ | 828,000$ | 828,000$ | UFA | |||||
Jesper Wallstedt ![]() | G | 23 | 2,200,000$ | 2,200,000$ | 2,200,000$ | RFA | |||||
Jonathan Lekkerimaki | C/RW | 21 | 950,000$ | 950,000$ | RFA | ||||||
Joseph Woll ![]() | G | 27 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Josh Mahura | D | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Josh Norris ![]() | C | 26 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||||
Justus Annunen | G | 25 | 1,000,000$ | 1,000,000$ | |||||||
Kaedan Korczak | D | 24 | 825,000$ | 825,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||
Leon Gawanke | D | 26 | 775,000$ | 775,000$ | |||||||
Mason Marchment ![]() | C/LW/RW | 30 | 3,700,000$ | 3,700,000$ | 3,700,000$ | UFA | |||||
Michael Kesselring ![]() | D | 25 | 1,500,000$ | 1,500,000$ | |||||||
Miro Heiskanen ![]() | D | 26 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Nikita Okhotyuk | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Peyton Krebs ![]() | C/LW | 24 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Pierre-Olivier Joseph ![]() | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Seth Jones ![]() | D | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Thomas Novak ![]() | C | 28 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Tom Wilson ![]() | RW | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |
Vasily Podkolzin | LW/RW | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Yakov Trenin ![]() | C/LW | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Yegor Sharangovich ![]() | C/LW | 27 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Brooks | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
Adam Jiricek | D | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Adam Sykora | LW/RW | 21 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Albin Grewe | LW | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Axel Andersson | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ben Harpur | D | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Blade Jenkins | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Blake Biondi | C | 23 | 0$ | RFA | |||||||
Brooklyn Kalmikov | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Caedan Bankier | C | 22 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Cameron Berg | C | 23 | 0$ | RFA | |||||||
Case McCarthy | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Connor Mayer | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Daniil But | LW | 20 | 0$ | RFA | |||||||
Daniil Gushchin | LW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
David Edstrom | C | 20 | 0$ | RFA | |||||||
Dawson Barteaux | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dylan Peterson | C/LW/RW | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Dylan Wells | G | 28 | 775,000$ | 775,000$ | |||||||
Emil Andrae | D | 23 | 903,333$ | 903,333$ | RFA | ||||||
Francesco Pinelli | C | 22 | 845,000$ | 845,000$ | RFA | ||||||
Gage Goncalves | C | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Helge Grans | D | 23 | 787,500$ | 787,500$ | 787,500$ | RFA | |||||
Isak Rosen | RW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Jakub Brabenec | C | 22 | 828,333$ | 828,333$ | RFA | ||||||
Keith Petruzzelli | G | 26 | 850,000$ | 850,000$ | |||||||
Landon Slaggert | LW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Niklas Kokko | G | 21 | 891,666$ | 891,666$ | 891,666$ | RFA | |||||
Noel Nordh | LW | 20 | 0$ | RFA | |||||||
Ozzy Wiesblatt | RW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Reid Schaefer | LW | 22 | 886,666$ | 886,666$ | 886,666$ | RFA | |||||
Ryan Suzuki | C | 24 | 800,000$ | 800,000$ | RFA | ||||||
Taige Harding | D | 24 | 0$ | RFA | |||||||
Tye Felhaber | LW | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Victor Mete | D | 27 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Yan Kuznetsov | D | 23 | 850,000$ | 850,000$ | 850,000$ | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 1 | 2 | 0 | 0 | 44 | 15 | 21 | 8 | 0 | 15 | 14 | 6 | 20 | 10 | 2 | 20.00% | 2 | 0 | 100.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 25 | 17 | 23 | 7 | 11 | 5 | 100.0% | 6.8% | 100.0% | 106.8 | DULL | |
| 2 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 18 | 30 | 0 | 0 | 7 | 3 | 1 | 1 | 89 | 36 | 22 | 22 | 9 | 79 | 29 | 31 | 80 | 15 | 4 | 26.67% | 12 | 3 | 75.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 64 | 41 | 79 | 24 | 40 | 19 | 61.5% | 13.5% | 89.9% | 103.4 | FUN | |
| 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 2 | 5 | 0 | 0 | 52 | 22 | 16 | 14 | 0 | 91 | 30 | 22 | 48 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 39 | 26 | 55 | 14 | 25 | 11 | 46.7% | 13.5% | 89.0% | 102.5 | FUN | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 37 | 13 | 15 | 9 | 0 | 43 | 9 | 10 | 25 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 22 | 15 | 24 | 6 | 13 | 6 | 60.0% | 8.1% | 90.7% | 98.8 | Unlucky | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 10 | 18 | 4 | 0 | 29 | 13 | 22 | 21 | 5 | 1 | 20.00% | 11 | 1 | 90.91% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 23 | 14 | 23 | 8 | 12 | 5 | 33.3% | 6.3% | 89.7% | 95.9 | Unlucky | |
| 6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 57 | 21 | 13 | 23 | 0 | 82 | 19 | 26 | 56 | 6 | 2 | 33.33% | 11 | 3 | 72.73% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 41 | 27 | 53 | 14 | 25 | 11 | 30.0% | 8.8% | 87.8% | 96.6 | Unlucky | |
| 7 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 1 | 5 | 0 | 0 | 62 | 22 | 22 | 18 | 3 | 75 | 20 | 20 | 35 | 6 | 1 | 16.67% | 10 | 3 | 70.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 51 | 36 | 47 | 13 | 26 | 12 | 50.0% | 9.7% | 89.3% | 99.0 | FUN | |
| 8 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 38 | 15 | 11 | 11 | 1 | 31 | 7 | 2 | 19 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 26 | 19 | 21 | 6 | 12 | 6 | 33.3% | 2.6% | 93.5% | 96.2 | DULL | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 4 | 13 | 5 | 0 | 30 | 8 | 2 | 14 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 20 | 14 | 27 | 6 | 11 | 5 | 25.0% | 4.5% | 90.0% | 94.5 | Unlucky | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 23 | 5 | 3 | 15 | 0 | 34 | 8 | 13 | 21 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 21 | 14 | 25 | 7 | 12 | 5 | 75.0% | 17.4% | 97.1% | 114.5 | LUCKY | |
| 11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 3 | 2 | 1 | 0 | 76 | 29 | 22 | 25 | 0 | 69 | 16 | 28 | 48 | 7 | 2 | 28.57% | 14 | 1 | 92.86% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 46 | 32 | 50 | 13 | 23 | 11 | 40.0% | 7.9% | 89.9% | 97.7 | Unlucky | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 28 | 9 | 12 | 7 | 0 | 32 | 9 | 20 | 25 | 3 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 23 | 14 | 24 | 8 | 12 | 6 | 66.7% | 7.1% | 87.5% | 94.6 | Unlucky | |
| 13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 5 | 0 | 1 | 0 | 62 | 33 | 11 | 18 | 0 | 77 | 14 | 26 | 41 | 2 | 1 | 50.00% | 13 | 4 | 69.23% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 43 | 30 | 52 | 13 | 24 | 12 | 50.0% | 9.7% | 88.3% | 98.0 | FUN | |
| 14 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 4 | 1 | 81 | 27 | 25 | 20 | 12 | 69 | 16 | 18 | 41 | 7 | 2 | 28.57% | 8 | 4 | 50.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 54 | 39 | 48 | 13 | 26 | 13 | 58.3% | 11.1% | 87.0% | 98.1 | FUN | |
| 15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 5 | 1 | 1 | 0 | 103 | 31 | 37 | 35 | 0 | 73 | 23 | 24 | 60 | 16 | 1 | 6.25% | 12 | 2 | 83.33% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 76 | 53 | 66 | 22 | 37 | 17 | 54.5% | 6.8% | 90.4% | 97.2 | Unlucky | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 37 | 11 | 12 | 14 | 0 | 40 | 4 | 8 | 18 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 25 | 19 | 22 | 6 | 11 | 5 | 60.0% | 10.8% | 95.0% | 105.8 | LUCKY | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 35 | 16 | 10 | 9 | 0 | 29 | 3 | 16 | 33 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 22 | 15 | 24 | 7 | 12 | 6 | 100.0% | 11.4% | 93.1% | 104.5 | LUCKY | |
| 18 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 0 | 2 | 2 | 1 | 47 | 14 | 14 | 13 | 6 | 45 | 9 | 17 | 30 | 5 | 2 | 40.00% | 6 | 3 | 50.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 22 | 15 | 28 | 7 | 12 | 6 | 75.0% | 10.6% | 91.1% | 101.7 | Unlucky | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 9 | 11 | 8 | 0 | 43 | 4 | 10 | 17 | 0 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 24 | 15 | 23 | 6 | 11 | 5 | 60.0% | 10.7% | 88.4% | 99.1 | FUN | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 9 | 4 | 2 | 0 | 39 | 17 | 6 | 23 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 17 | 11 | 28 | 8 | 13 | 6 | 14.3% | 6.7% | 82.1% | 88.7 | Unlucky | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 41 | 11 | 17 | 13 | 0 | 28 | 12 | 10 | 22 | 7 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 23 | 15 | 24 | 8 | 12 | 6 | 75.0% | 7.3% | 92.9% | 100.2 | DULL | |
| 22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 19 | 6 | 3 | 10 | 0 | 46 | 15 | 18 | 21 | 3 | 1 | 33.33% | 8 | 2 | 75.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 19 | 12 | 28 | 7 | 11 | 5 | 80.0% | 26.3% | 93.5% | 119.8 | LUCKY | |
| 23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 65 | 28 | 22 | 15 | 0 | 51 | 13 | 17 | 44 | 12 | 1 | 8.33% | 6 | 1 | 83.33% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 46 | 31 | 48 | 14 | 24 | 12 | 12.5% | 3.1% | 84.3% | 87.4 | Unlucky | |
| 24 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 38 | 14 | 13 | 11 | 0 | 106 | 35 | 24 | 41 | 2 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 37 | 22 | 57 | 15 | 25 | 11 | 44.4% | 10.5% | 93.4% | 103.9 | LUCKY | |
| 25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 50 | 13 | 24 | 13 | 0 | 74 | 24 | 14 | 44 | 8 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 39 | 26 | 55 | 15 | 24 | 11 | 55.6% | 10.0% | 93.2% | 103.2 | LUCKY | |
| 26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 5 | 6 | 15 | 0 | 39 | 15 | 16 | 29 | 0 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 19 | 12 | 27 | 6 | 13 | 6 | 33.3% | 3.8% | 87.2% | 91.0 | Unlucky | |
| 27 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 1 | 1 | 19 | 7 | 4 | 6 | 2 | 25 | 9 | 18 | 27 | 1 | 1 | 100.00% | 9 | 0 | 100.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 20 | 13 | 27 | 7 | 12 | 4 | 50.0% | 21.1% | 88.0% | 109.1 | FUN | |
| 28 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 1 | 4 | 1 | 57 | 15 | 20 | 21 | 1 | 59 | 17 | 26 | 50 | 8 | 1 | 12.50% | 11 | 0 | 100.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 55 | 40 | 41 | 13 | 24 | 12 | 66.7% | 12.3% | 94.9% | 107.2 | LUCKY | |
| _Vs Division | 10 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 24 | 32 | -8 | 6 | 0.300 | 24 | 45 | 69 | 0 | 0 | 11 | 5 | 8 | 0 | 278 | 84 | 107 | 87 | 0 | 336 | 93 | 79 | 204 | 34 | 2 | 5.88% | 36 | 9 | 75.00% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 223 | 151 | 252 | 73 | 124 | 58 | 48.9% | 8.6% | 90.5% | 99.1 | Unlucky | |
| _Vs Conference | 23 | 8 | 13 | 0 | 1 | 1 | 0 | 0 | 63 | 80 | -17 | 19 | 0.413 | 63 | 112 | 175 | 1 | 0 | 29 | 16 | 17 | 1 | 667 | 228 | 218 | 211 | 10 | 802 | 237 | 244 | 526 | 78 | 12 | 15.38% | 108 | 24 | 77.78% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 505 | 340 | 591 | 170 | 288 | 136 | 47.7% | 9.4% | 90.0% | 99.5 | FUN | |
| _Since Last GM Reset | 42 | 13 | 20 | 0 | 5 | 2 | 0 | 2 | 122 | 141 | -19 | 40 | 0.476 | 122 | 218 | 340 | 1 | 1 | 46 | 37 | 34 | 5 | 1283 | 450 | 421 | 384 | 34 | 1453 | 412 | 470 | 953 | 146 | 24 | 16.44% | 211 | 47 | 77.73% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 957 | 653 | 1061 | 311 | 526 | 252 | 51.0% | 9.5% | 90.3% | 99.8 | FUN | |
| Total | 42 | 13 | 20 | 0 | 5 | 2 | 0 | 2 | 122 | 141 | -19 | 40 | 0.476 | 122 | 218 | 340 | 1 | 1 | 46 | 37 | 34 | 5 | 1283 | 450 | 421 | 384 | 34 | 1453 | 412 | 470 | 953 | 146 | 24 | 16.44% | 211 | 47 | 77.73% | 0 | 681 | 1451 | 46.93% | 711 | 1563 | 45.49% | 328 | 640 | 51.25% | 957 | 653 | 1061 | 311 | 526 | 252 | 51.0% | 9.5% | 90.3% | 99.8 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1451 |
| Neutral Zone Start | 640 |
| Defensive Zone Start | 1563 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1720 |
| Faceoffs Lost | 1934 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.7 | 9.57 |
| 2nd Period | 20.7 | 20.31 |
| 3rd Period | 29.9 | 30.68 |
| Overtime | 30.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 97 |
|---|---|
| PP Goal | 24 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 13 | 5 |
| Lost | 10 | 10 |
| Overtime Lost | 3 | 1 |
| PP Attempt | 146 |
|---|---|
| PP Goal | 24 |
| PK Attempt | 211 |
| PK Goal Against | 47 |
| Home | |
|---|---|
| Shots For | 30.5 |
| Shots Against | 34.6 |
| Goals For | 2.9 |
| Goals Against | 3.4 |
| Hits | 22.7 |
| Shots Blocked | 9.8 |
| Pim | 11.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Blackhawks2,Panthers3 | RECAP | |||||||||||
| 2025-10-10 | @ | Flyers2,Panthers3 | RECAP | |||||||||||
| 2025-10-12 | @ | Senators4,Panthers3 | RECAP | |||||||||||
| 2025-10-14 | @ | Panthers5,Flyers3 | RECAP | |||||||||||
| 2025-10-16 | @ | Panthers1,Red Wings3 | RECAP | |||||||||||
| 2025-10-17 | @ | Panthers2,Devils6 | RECAP | |||||||||||
| 2025-10-19 | @ | Panthers1,Sabres7 | RECAP | |||||||||||
| 2025-10-22 | @ | Panthers3,Bruins5 | RECAP | |||||||||||
| 2025-10-24 | @ | Penguins5,Panthers1 | RECAP | |||||||||||
| 2025-10-26 | @ | Golden Knights2,Panthers3 (OT) | RECAP | |||||||||||
| 2025-10-29 | @ | Ducks5,Panthers1 | RECAP | |||||||||||
| 2025-11-02 | @ | Stars4,Panthers3 (OT) | RECAP | |||||||||||
| 2025-11-05 | @ | Panthers1,Ducks3 | RECAP | |||||||||||
| 2025-11-07 | @ | Panthers3,Kings5 | RECAP | |||||||||||
| 2025-11-09 | @ | Panthers4,Sharks3 (OT) | RECAP | |||||||||||
| 2025-11-11 | @ | Panthers4,Golden Knights1 | RECAP | |||||||||||
| 2025-11-14 | @ | Capitals2,Panthers3 | RECAP | |||||||||||
| 2025-11-16 | @ | Lightning3,Panthers0 | RECAP | |||||||||||
| 2025-11-18 | @ | Canucks4,Panthers2 | RECAP | |||||||||||
| 2025-11-21 | @ | Devils4,Panthers5 | RECAP | |||||||||||
| 2025-11-23 | @ | Oilers2,Panthers4 | RECAP | |||||||||||
| 2025-11-25 | @ | Panthers3,Predators4 (SO) | RECAP | |||||||||||
| 2025-11-27 | @ | Flyers3,Panthers4 (OT) | RECAP | |||||||||||
| 2025-11-29 | @ | Flames0,Panthers3 | RECAP | |||||||||||
| 2025-12-03 | @ | Maple Leafs2,Panthers3 | RECAP | |||||||||||
| 2025-12-05 | @ | Predators5,Panthers6 (OT) | RECAP | |||||||||||
| 2025-12-07 | @ | Blue Jackets3,Panthers5 | RECAP | |||||||||||
| 2025-12-08 | @ | Islanders3,Panthers2 | RECAP | |||||||||||
| 2025-12-11 | @ | Panthers5,Mammoth4 (OT) | RECAP | |||||||||||
| 2025-12-12 | @ | Panthers4,Avalanche5 | RECAP | |||||||||||
| 2025-12-14 | @ | Panthers1,Stars3 | RECAP | |||||||||||
| 2025-12-16 | @ | Panthers6,Lightning1 | RECAP | |||||||||||
| 2025-12-18 | @ | Kings4,Panthers3 | RECAP | |||||||||||
| 2025-12-20 | @ | Hurricanes6,Panthers2 | RECAP | |||||||||||
| 2025-12-21 | @ | Blues2,Panthers4 | RECAP | |||||||||||
| 2025-12-24 | @ | Panthers3,Hurricanes4 | RECAP | |||||||||||
| 2025-12-28 | @ | Lightning3,Panthers1 | RECAP | |||||||||||
| 2025-12-30 | @ | Capitals5,Panthers3 | RECAP | |||||||||||
| 2025-12-31 | @ | Canadiens1,Panthers4 | RECAP | |||||||||||
| 2026-01-03 | @ | Rangers2,Panthers1 (OT) | RECAP | |||||||||||
| 2026-01-05 | @ | Avalanche3,Panthers2 (SO) | RECAP | |||||||||||
| 2026-01-07 | @ | Panthers2,Maple Leafs3 | RECAP | |||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| 2026-04-12 | @ | |||||||||||||
| 2026-04-14 | @ | |||||||||||||
| 2026-04-16 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 80,578,000$ | 0$ | 78,954,030$ | 14,922,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | BBT Center | |
| City | Florida | ||
| 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 | 144880 | 124545 | 49452 | 97665 | 24368 |
| Attendance PCT | 92.87% | 95.80% | 95.10% | 93.91% | 93.72% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 15 | 16958 - 94.21% | 1,550,337$ | 40,308,770$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 80,578,000$ | 80,578,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 37,890,360$ | 419,677$ | 37,406,007$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 23,255,060$ | 99 | 424,885$ | 42,063,615$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 43,399,413$ | 80,578,000$ | 96,948,467$ | 76,804,114$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
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| 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) |
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| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
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| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Adam Ingram | 2022 | 56 | |||
| Benjamin Roger | 2021 | 80 | |||
| Bogdan Konyushkov | 2023 | 107 | |||
| Caleb Desnoyers | 2025 | 3 | |||
| Cameron Whynot | 2021 | 84 | |||
| Cayden Lindstrom | 2024 | 8 | |||
| Chase Yoder | |||||
| David Rozsival | 2025 | 179 | |||
| Dmitri Gamzin | 2024 | 128 | |||
| Ethan Procyszyn | 2024 | 86 | |||
| Gabriel D'Aigle | 2025 | 76 | |||
| Haakon Hanelt | 2021 | 152 | |||
| Harry Nansi | 2025 | 163 | |||
| Hayden Paupanekis | 2025 | 86 | |||
| Isak Walther | 2019 | 192 | 5.5 - 5.0 | ||
| James Hardie | 2020 | 134 | |||
| Jaromir Pytlik | 2020 | 60 | |||
| Leon Muggli | 2024 | 75 | |||
| Logan Hensler | 2025 | 21 | |||
| Luca Marrelli | 2024 | 89 | |||
| Marek Vanacker | 2024 | 41 | |||
| Mason West | 2025 | 35 | |||
| Michael Hrabal | 2023 | 34 | |||
| Nicholas Moldenhauer | 2022 | 64 | |||
| Pano Fimis | 2022 | 54 | |||
| Peyton Kettles | 2025 | 70 | |||
| Ryder Ritchie | 2024 | 30 | |||
| Ryker Lee | 2025 | 46 | |||
| Semyon Frolov | 2025 | 67 | |||
| Tinus-Luc Koblar | 2025 | 80 | |||
| Wyatt Schingoethe | 2020 | 163 |
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