| Florida Panthers 25-27-5, 55pts · 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 | 100.00 | 86 | 52 | 52 | 80 | 89 | 86 | 90 | 78 | 60 | 76 | 88 | 74 | 83 | 79 | 75 | 0 | 52 | 89 | 31 | 6,500,000$/6yrs | |||
Josh Norris | 0 | C | 100.00 | 80 | 33 | 78 | 74 | 78 | 85 | 79 | 72 | 86 | 69 | 79 | 77 | 76 | 70 | 68 | 0 | 35 | 83 | 26 | 7,250,000$/3yrs | |||
Andrei Svechnikov | 0 | LW/RW | 100.00 | 76 | 33 | 75 | 74 | 78 | 82 | 90 | 69 | 61 | 78 | 73 | 52 | 71 | 68 | 66 | 0 | 46 | 81 | 25 | 7,750,000$/4yrs | |||
Mason Marchment | 0 | C/LW/RW | 100.00 | 71 | 36 | 68 | 70 | 85 | 81 | 85 | 68 | 60 | 72 | 75 | 54 | 71 | 76 | 73 | 0 | 45 | 80 | 30 | 3,700,000$/2yrs | |||
Cole Perfetti | 0 | C/LW | 100.00 | 66 | 32 | 91 | 68 | 71 | 80 | 87 | 65 | 59 | 71 | 67 | 58 | 66 | 65 | 64 | 0 | 45 | 77 | 24 | 4,000,000$/2yrs | |||
Vasily Podkolzin | 0 | LW/RW | 100.00 | 89 | 38 | 80 | 65 | 75 | 80 | 90 | 63 | 59 | 64 | 70 | 67 | 67 | 66 | 64 | 0 | 45 | 77 | 24 | 1,000,000$/1yrs | |||
Thomas Novak | 0 | C | 100.00 | 53 | 32 | 96 | 65 | 72 | 79 | 84 | 66 | 75 | 68 | 71 | 56 | 68 | 72 | 71 | 0 | 45 | 76 | 28 | 3,500,000$/1yrs | |||
Yegor Sharangovich | 0 | C/LW | 100.00 | 56 | 33 | 96 | 66 | 78 | 82 | 88 | 62 | 73 | 63 | 69 | 59 | 66 | 71 | 71 | 0 | 45 | 75 | 27 | 5,750,000$/5yrs | |||
Jack Drury | 0 | C | 100.00 | 59 | 32 | 87 | 62 | 68 | 78 | 90 | 61 | 86 | 62 | 65 | 75 | 63 | 68 | 67 | 0 | 45 | 74 | 26 | 2,500,000$/1yrs | |||
Peyton Krebs | 0 | C/LW | 100.00 | 78 | 45 | 71 | 61 | 73 | 78 | 90 | 61 | 79 | 66 | 61 | 59 | 61 | 66 | 63 | 0 | 45 | 73 | 25 | 2,500,000$/1yrs | |||
Yakov Trenin | 0 | C/LW | 100.00 | 95 | 39 | 78 | 56 | 80 | 76 | 90 | 55 | 60 | 61 | 59 | 68 | 57 | 73 | 71 | 0 | 48 | 72 | 29 | 3,500,000$/3yrs | |||
Colton Dach (R) | 0 | C/LW | 100.00 | 93 | 49 | 67 | 59 | 81 | 75 | 78 | 57 | 60 | 60 | 59 | 64 | 58 | 63 | 59 | 0 | 49 | 71 | 23 | 825,000$/1yrs | |||
Miro Heiskanen | 4 | D | 100.00 | 56 | 33 | 89 | 77 | 77 | 97 | 90 | 74 | 30 | 83 | 66 | 83 | 70 | 70 | 69 | 0 | 45 | 88 | 26 | 8,000,000$/4yrs | |||
Seth Jones | 0 | D | 100.00 | 72 | 34 | 87 | 67 | 86 | 95 | 86 | 65 | 30 | 74 | 66 | 75 | 65 | 78 | 77 | 0 | 36 | 83 | 31 | 9,500,000$/5yrs | |||
Jeremy Davies | 28 | D | 100.00 | 69 | 39 | 76 | 57 | 73 | 69 | 89 | 54 | 30 | 63 | 55 | 69 | 59 | 70 | 68 | 0 | 48 | 72 | 29 | 828,000$/2yrs | |||
Michael Kesselring | 0 | D | 100.00 | 68 | 46 | 65 | 60 | 79 | 84 | 86 | 53 | 30 | 65 | 59 | 59 | 56 | 68 | 65 | 0 | 45 | 72 | 26 | 1,500,000$/1yrs | |||
Kaedan Korczak | 0 | D | 100.00 | 74 | 33 | 91 | 57 | 82 | 81 | 81 | 53 | 30 | 64 | 56 | 60 | 54 | 66 | 65 | 0 | 45 | 72 | 25 | 825,000$/5yrs | |||
Josh Mahura | 0 | D | 100.00 | 70 | 32 | 64 | 55 | 72 | 79 | 79 | 53 | 30 | 54 | 57 | 72 | 55 | 71 | 67 | 0 | 28 | 70 | 27 | 1,250,000$/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 | 100.00 | 73 | 37 | 78 | 63 | 77 | 80 | 84 | 61 | 52 | 65 | 64 | 65 | 63 | 69 | 67 | 0 | 40 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jesper Wallstedt | 0 | 100.00 | 80 | 83 | 75 | 87 | 91 | 82 | 91 | 93 | 89 | 94 | 91 | 65 | 69 | 0 | 25 | 89 | 23 | 2,200,000$/2yrs |
Joseph Woll | 0 | 100.00 | 82 | 86 | 77 | 83 | 87 | 78 | 88 | 89 | 87 | 90 | 88 | 72 | 76 | 0 | 35 | 88 | 27 | 3,750,000$/4yrs |
| Scratches | ||||||||||||||||||||
Justus Annunen | 0 | 100.00 | 62 | 82 | 75 | 86 | 76 | 77 | 78 | 86 | 82 | 87 | 78 | 68 | 72 | 0 | 33 | 83 | 25 | 1,000,000$/1yrs |
| TEAM AVERAGE | 100.00 | 75 | 84 | 76 | 85 | 85 | 79 | 86 | 89 | 86 | 90 | 86 | 68 | 72 | 0 | 31 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Scott Arniel | 76 | 95 | 94 | 73 | 68 | 82 | 57 | CAN | 63 | 4 | 1,000,000$ |
| 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 | 57 | 19 | 37 | 56 | 0 | 117 | 15 | 222 | 268 | 80 | 190 | 7.09% | 32 | 20.28 | 5 | 8 | 13 | 169 | 0 | 0 | 0 | 183 | 2 | 1 | 39.67% | 484 | 0 | 0 | 0 | 0 | 0.97 | 0 | 2 | |
| 2 | Josh Norris | 0 | C | 54 | 21 | 29 | 50 | -4 | 24 | 0 | 84 | 210 | 71 | 153 | 10.00% | 18 | 19.97 | 6 | 10 | 16 | 173 | 0 | 0 | 0 | 82 | 2 | 3 | 47.19% | 1405 | 0 | 0 | 0 | 0 | 0.93 | 0 | 2 | |
| 3 | Andrei Svechnikov | 0 | LW/RW | 57 | 16 | 29 | 45 | -3 | 49 | 5 | 120 | 173 | 42 | 115 | 9.25% | 7 | 22.49 | 1 | 12 | 13 | 176 | 0 | 0 | 0 | 198 | 6 | 0 | 40.44% | 136 | 0 | 0 | 0 | 0 | 0.70 | 0 | 2 | |
| 4 | Miro Heiskanen | 4 | D | 57 | 12 | 29 | 41 | -25 | 28 | 0 | 75 | 119 | 44 | 82 | 10.08% | 115 | 26.99 | 5 | 8 | 13 | 183 | 0 | 0 | 0 | 232 | 2 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.53 | 0 | 0 | |
| 5 | Yegor Sharangovich | 0 | C/LW | 57 | 19 | 16 | 35 | 2 | 0 | 0 | 8 | 150 | 39 | 93 | 12.67% | 8 | 14.04 | 7 | 4 | 11 | 135 | 0 | 0 | 0 | 57 | 1 | 2 | 49.00% | 100 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | |
| 6 | Mason Marchment | 0 | C/LW/RW | 57 | 12 | 17 | 29 | 0 | 20 | 0 | 50 | 137 | 27 | 103 | 8.76% | 5 | 17.34 | 2 | 5 | 7 | 162 | 0 | 0 | 0 | 103 | 3 | 0 | 43.43% | 297 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 7 | Cole Perfetti | 0 | C/LW | 57 | 11 | 16 | 27 | -6 | 8 | 0 | 17 | 115 | 49 | 84 | 9.57% | 8 | 19.17 | 3 | 3 | 6 | 153 | 0 | 0 | 0 | 79 | 1 | 2 | 41.18% | 187 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 8 | Thomas Novak | 0 | C | 57 | 11 | 10 | 21 | 2 | 0 | 0 | 0 | 77 | 38 | 46 | 14.29% | 2 | 13.93 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 0 | 0 | 1 | 45.86% | 1003 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 9 | Josh Mahura | 0 | D | 52 | 4 | 15 | 19 | 3 | 46 | 0 | 97 | 39 | 10 | 17 | 10.26% | 52 | 18.74 | 1 | 4 | 5 | 148 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 10 | Michael Kesselring | 0 | D | 57 | 2 | 16 | 18 | -3 | 74 | 0 | 145 | 52 | 15 | 42 | 3.85% | 74 | 20.59 | 0 | 2 | 2 | 157 | 0 | 0 | 0 | 147 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 11 | Kaedan Korczak | 0 | D | 57 | 7 | 10 | 17 | 8 | 32 | 0 | 108 | 48 | 12 | 22 | 14.58% | 72 | 21.42 | 3 | 2 | 5 | 130 | 0 | 0 | 0 | 180 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 12 | Jack Drury | 0 | C | 57 | 9 | 7 | 16 | 6 | 6 | 0 | 14 | 72 | 17 | 64 | 12.50% | 9 | 10.84 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 46 | 0 | 0 | 47.20% | 769 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 13 | Yakov Trenin | 0 | C/LW | 57 | 4 | 11 | 15 | 2 | 23 | 5 | 33 | 48 | 11 | 42 | 8.33% | 7 | 8.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 1 | 1 | 41.67% | 36 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
| 14 | Seth Jones | 0 | D | 54 | 4 | 9 | 13 | -19 | 50 | 0 | 106 | 69 | 24 | 36 | 5.80% | 67 | 18.87 | 1 | 2 | 3 | 61 | 0 | 0 | 0 | 78 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 15 | Colton Dach | 0 | C/LW | 50 | 6 | 6 | 12 | -3 | 29 | 5 | 55 | 45 | 10 | 32 | 13.33% | 3 | 8.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 61.90% | 21 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 16 | Jeremy Davies | 28 | D | 40 | 0 | 11 | 11 | 16 | 30 | 0 | 66 | 15 | 1 | 15 | 0.00% | 37 | 15.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 17 | Vasily Podkolzin | 0 | LW/RW | 37 | 3 | 8 | 11 | 6 | 16 | 0 | 80 | 52 | 13 | 48 | 5.77% | 7 | 9.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18.18% | 22 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 18 | Peyton Krebs | 0 | C/LW | 57 | 3 | 5 | 8 | -4 | 4 | 0 | 14 | 38 | 12 | 31 | 7.89% | 6 | 8.68 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 41 | 2 | 1 | 53.28% | 411 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 19 | 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 | |
| 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 | 1010 | 164 | 287 | 451 | -17 | 574 | 30 | 1336 | 1741 | 522 | 1229 | 9.42% | 553 | 16.41 | 34 | 61 | 95 | 1710 | 0 | 0 | 0 | 1701 | 25 | 11 | 45.94% | 4896 | 0 | 0 | 1 | 0 | 0.54 | 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 | 31 | 12 | 13 | 4 | 0.904 | 3.34 | 1601 | 2 | 0 | 89 | 928 | 0 | 3 | 0 | 0.667 | 3 | 27 | 30 | 4 | 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 | 22 | 5 | 12 | 0 | 0.908 | 3.18 | 1113 | 4 | 0 | 59 | 638 | 0 | 1 | 1 | 0.000 | 0 | 17 | 21 | 2 | 1 | 0 | |
| Team Total or Average | 66 | 25 | 27 | 5 | 0.906 | 3.21 | 3444 | 8 | 1 | 184 | 1948 | 0 | 4 | 1 | 0.600 | 5 | 57 | 57 | 7 | 3 | 1 |
| Projected Total Cap Hit | 78,954,030$ |
| Projected Cap Space | 16,545,970$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 55,871,795$ |
| 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 | 26 | 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 | 25 | 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 | 26 | 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 | 25 | 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 | 29 | 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 | 20 | 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 | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ben Harpur | D | 31 | 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 | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Cameron Berg | C | 24 | 0$ | RFA | |||||||
Case McCarthy | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Connor Mayer | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Daniil But | LW | 21 | 0$ | RFA | |||||||
Daniil Gushchin | LW | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
David Edstrom | C | 20 | 0$ | RFA | |||||||
Dawson Barteaux | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dylan Peterson | C/LW/RW | 24 | 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 | 25 | 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 | 27 | 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 | 21 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 39 | 26 | 55 | 14 | 25 | 11 | 46.7% | 13.5% | 89.0% | 102.5 | FUN | |
| 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 70 | 25 | 28 | 17 | 0 | 93 | 21 | 18 | 44 | 4 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 43 | 30 | 49 | 14 | 26 | 12 | 54.5% | 8.6% | 91.4% | 100.0 | DULL | |
| 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 23 | 14 | 23 | 8 | 12 | 5 | 33.3% | 6.3% | 89.7% | 95.9 | Unlucky | |
| 6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 3 | 1 | 4 | 0 | 82 | 30 | 19 | 33 | 0 | 121 | 34 | 34 | 84 | 8 | 2 | 25.00% | 14 | 4 | 71.43% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 59 | 39 | 81 | 22 | 38 | 18 | 46.2% | 9.8% | 90.9% | 100.7 | FUN | |
| 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 20 | 14 | 27 | 6 | 11 | 5 | 25.0% | 4.5% | 90.0% | 94.5 | Unlucky | |
| 10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 36 | 8 | 7 | 21 | 0 | 76 | 28 | 25 | 47 | 4 | 1 | 25.00% | 10 | 0 | 100.00% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 39 | 26 | 55 | 15 | 24 | 10 | 50.0% | 11.1% | 96.1% | 107.2 | LUCKY | |
| 11 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 19 | 29 | 1 | 0 | 6 | 3 | 1 | 0 | 116 | 47 | 34 | 35 | 0 | 95 | 25 | 32 | 78 | 15 | 4 | 26.67% | 16 | 1 | 93.75% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 73 | 51 | 72 | 20 | 34 | 17 | 40.0% | 8.6% | 89.5% | 98.1 | Unlucky | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 14 | 4 | 6 | 0 | 32 | 7 | 6 | 31 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 22 | 15 | 23 | 7 | 13 | 6 | 25.0% | 4.2% | 90.6% | 94.8 | Unlucky | |
| 13 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 23 | 14 | 24 | 8 | 12 | 6 | 66.7% | 7.1% | 87.5% | 94.6 | Unlucky | |
| 14 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 43 | 30 | 52 | 13 | 24 | 12 | 50.0% | 9.7% | 88.3% | 98.0 | FUN | |
| 15 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 54 | 39 | 48 | 13 | 26 | 13 | 58.3% | 11.1% | 87.0% | 98.1 | FUN | |
| 16 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 12 | -1 | 3 | 0.375 | 11 | 20 | 31 | 0 | 0 | 6 | 4 | 1 | 0 | 143 | 41 | 51 | 50 | 1 | 108 | 28 | 30 | 78 | 19 | 2 | 10.53% | 15 | 3 | 80.00% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 102 | 72 | 89 | 30 | 50 | 24 | 50.0% | 7.7% | 88.9% | 96.6 | Unlucky | |
| 17 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 25 | 19 | 22 | 6 | 11 | 5 | 60.0% | 10.8% | 95.0% | 105.8 | LUCKY | |
| 18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 62 | 24 | 16 | 22 | 0 | 48 | 7 | 25 | 52 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 47 | 32 | 45 | 14 | 26 | 12 | 71.4% | 8.1% | 89.6% | 97.6 | Unlucky | |
| 19 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 1 | 3 | 2 | 1 | 78 | 24 | 23 | 25 | 6 | 70 | 17 | 25 | 49 | 9 | 2 | 22.22% | 10 | 3 | 70.00% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 45 | 29 | 52 | 15 | 25 | 12 | 45.5% | 9.0% | 87.1% | 96.1 | FUN | |
| 20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 5 | 9 | 0 | 0 | 2 | 0 | 2 | 0 | 52 | 17 | 18 | 17 | 0 | 88 | 16 | 20 | 46 | 3 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 43 | 28 | 52 | 13 | 23 | 11 | 50.0% | 7.7% | 92.0% | 99.7 | DULL | |
| 21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 4 | 0.667 | 11 | 18 | 29 | 0 | 0 | 6 | 4 | 1 | 0 | 94 | 40 | 18 | 36 | 0 | 101 | 32 | 16 | 68 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 62 | 41 | 77 | 23 | 39 | 18 | 42.9% | 11.7% | 87.1% | 98.8 | FUN | |
| 22 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 1 | 64 | 16 | 31 | 16 | 1 | 46 | 21 | 12 | 44 | 11 | 1 | 9.09% | 6 | 1 | 83.33% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 47 | 32 | 48 | 15 | 24 | 12 | 62.5% | 9.4% | 91.3% | 100.7 | LUCKY | |
| 23 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 19 | 12 | 28 | 7 | 11 | 5 | 80.0% | 26.3% | 93.5% | 119.8 | LUCKY | |
| 24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 2 | 3 | 0 | 88 | 27 | 35 | 26 | 0 | 65 | 16 | 10 | 57 | 13 | 3 | 23.08% | 5 | 0 | 100.00% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 50 | 35 | 46 | 14 | 23 | 12 | 55.6% | 9.1% | 93.8% | 102.9 | LUCKY | |
| 25 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 46 | 31 | 48 | 14 | 24 | 12 | 12.5% | 3.1% | 84.3% | 87.4 | Unlucky | |
| 26 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 37 | 22 | 57 | 15 | 25 | 11 | 44.4% | 10.5% | 93.4% | 103.9 | LUCKY | |
| 27 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 39 | 26 | 55 | 15 | 24 | 11 | 55.6% | 10.0% | 93.2% | 103.2 | LUCKY | |
| 28 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 19 | 12 | 27 | 6 | 13 | 6 | 33.3% | 3.8% | 87.2% | 91.0 | Unlucky | |
| 29 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 2 | 1 | 46 | 14 | 16 | 14 | 2 | 63 | 19 | 31 | 56 | 6 | 2 | 33.33% | 13 | 2 | 84.62% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 44 | 30 | 51 | 15 | 25 | 11 | 36.4% | 13.0% | 85.7% | 98.8 | FUN | |
| 30 | 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 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 55 | 40 | 41 | 13 | 24 | 12 | 66.7% | 12.3% | 94.9% | 107.2 | LUCKY | |
| _Vs Division | 16 | 5 | 10 | 0 | 0 | 1 | 0 | 0 | 42 | 51 | -9 | 11 | 0.344 | 42 | 74 | 116 | 0 | 0 | 19 | 13 | 10 | 0 | 467 | 148 | 159 | 159 | 1 | 570 | 157 | 125 | 341 | 51 | 5 | 9.80% | 59 | 11 | 81.36% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 353 | 240 | 407 | 119 | 201 | 94 | 48.1% | 9.0% | 91.1% | 100.0 | Unlucky | |
| _Vs Conference | 31 | 12 | 16 | 0 | 1 | 2 | 0 | 0 | 88 | 103 | -15 | 28 | 0.452 | 88 | 154 | 242 | 1 | 0 | 41 | 26 | 20 | 1 | 921 | 319 | 288 | 303 | 11 | 1101 | 325 | 302 | 721 | 105 | 17 | 16.19% | 136 | 27 | 80.15% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 680 | 459 | 798 | 230 | 389 | 184 | 48.3% | 9.6% | 90.6% | 100.2 | FUN | |
| _Since Last GM Reset | 57 | 19 | 27 | 0 | 6 | 3 | 0 | 2 | 164 | 187 | -23 | 55 | 0.482 | 164 | 290 | 454 | 1 | 1 | 63 | 53 | 42 | 6 | 1757 | 612 | 571 | 544 | 36 | 1949 | 554 | 576 | 1325 | 206 | 34 | 16.50% | 258 | 53 | 79.46% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 1300 | 887 | 1431 | 422 | 716 | 344 | 49.2% | 9.3% | 90.4% | 99.7 | FUN | |
| Total | 57 | 19 | 27 | 0 | 6 | 3 | 0 | 2 | 164 | 187 | -23 | 55 | 0.482 | 164 | 290 | 454 | 1 | 1 | 63 | 53 | 42 | 6 | 1757 | 612 | 571 | 544 | 36 | 1949 | 554 | 576 | 1325 | 206 | 34 | 16.50% | 258 | 53 | 79.46% | 0 | 927 | 2007 | 46.19% | 938 | 2084 | 45.01% | 428 | 873 | 49.03% | 1300 | 887 | 1431 | 422 | 716 | 344 | 49.2% | 9.3% | 90.4% | 99.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2007 |
| Neutral Zone Start | 873 |
| Defensive Zone Start | 2084 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2293 |
| Faceoffs Lost | 2671 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.7 | 9.57 |
| 2nd Period | 20.8 | 20.31 |
| 3rd Period | 30.3 | 30.68 |
| Overtime | 30.9 | 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 | 129 |
|---|---|
| PP Goal | 34 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 15 | 10 |
| Lost | 13 | 14 |
| Overtime Lost | 3 | 2 |
| PP Attempt | 206 |
|---|---|
| PP Goal | 34 |
| PK Attempt | 258 |
| PK Goal Against | 53 |
| Home | |
|---|---|
| Shots For | 30.8 |
| Shots Against | 34.2 |
| Goals For | 2.9 |
| Goals Against | 3.3 |
| Hits | 23.2 |
| Shots Blocked | 9.7 |
| Pim | 10.1 |
| 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 | |||||||||||
| 2026-01-09 | @ | Panthers0,Canadiens2 | RECAP | |||||||||||
| 2026-01-11 | @ | Panthers3,Senators4 | RECAP | |||||||||||
| 2026-01-13 | @ | Panthers5,Sabres2 | RECAP | |||||||||||
| 2026-01-17 | @ | Panthers3,Hurricanes1 | RECAP | |||||||||||
| 2026-01-18 | @ | Panthers4,Capitals3 | RECAP | |||||||||||
| 2026-01-20 | @ | Sharks6,Panthers2 | RECAP | |||||||||||
| 2026-01-23 | @ | Panthers3,Jets1 | RECAP | |||||||||||
| 2026-01-25 | @ | Panthers1,Wild3 | RECAP | |||||||||||
| 2026-01-26 | @ | Panthers3,Blackhawks2 (OT) | RECAP | |||||||||||
| 2026-01-28 | @ | Mammoth5,Panthers2 | RECAP | |||||||||||
| 2026-01-30 | @ | Panthers1,Blues3 | RECAP | |||||||||||
| 2026-02-01 | @ | Jets3,Panthers5 | RECAP | |||||||||||
| 2026-02-03 | @ | Sabres4,Panthers5 | RECAP | |||||||||||
| 2026-02-05 | @ | Bruins2,Panthers1 | RECAP | |||||||||||
| 2026-02-06 | @ | Panthers4,Lightning5 (OT) | RECAP | |||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-02-28 | @ | |||||||||||||
| 2026-03-02 | @ | |||||||||||||
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| 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 | 172283 | 147415 | 58725 | 117437 | 28911 |
| Attendance PCT | 92.63% | 95.11% | 94.72% | 94.71% | 93.26% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 10 | 16928 - 94.04% | 1,545,184$ | 47,900,711$ | 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 |
|---|---|---|---|
| 56,585,300$ | 419,677$ | 55,871,795$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 15,451,842$ | 55 | 424,885$ | 23,368,675$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 24,028,897$ | 80,578,000$ | 85,170,365$ | 76,593,310$ |
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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| 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 |
|---|---|---|---|---|---|
| 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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