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Full Scoreboard »» |
| Florida Panthers 4-9-1, 9pts · 14th 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 | 89 | 48 | 50 | 70 | 89 | 87 | 89 | 70 | 59 | 69 | 76 | 80 | 73 | 78 | 73 | 0 | 36 | 83 | 31 | 6,500,000$/6yrs | |||
Andrei Svechnikov | 0 | LW/RW | 99.00 | 81 | 35 | 70 | 76 | 78 | 84 | 85 | 70 | 59 | 75 | 74 | 55 | 72 | 67 | 64 | 0 | 35 | 82 | 25 | 7,750,000$/4yrs | |||
Josh Norris | 0 | C | 100.00 | 80 | 33 | 78 | 72 | 78 | 86 | 81 | 70 | 85 | 67 | 77 | 75 | 74 | 69 | 67 | 0 | 25 | 82 | 26 | 7,250,000$/3yrs | |||
Mason Marchment | 0 | C/LW/RW | 100.00 | 72 | 39 | 74 | 70 | 85 | 81 | 87 | 70 | 60 | 72 | 75 | 57 | 73 | 75 | 73 | 0 | 35 | 81 | 30 | 3,700,000$/2yrs | |||
Yegor Sharangovich | 0 | C/LW | 100.00 | 55 | 33 | 96 | 72 | 78 | 84 | 89 | 68 | 73 | 67 | 75 | 65 | 72 | 70 | 70 | 0 | 35 | 79 | 27 | 5,750,000$/5yrs | |||
Cole Perfetti | 0 | C/LW | 100.00 | 63 | 32 | 92 | 70 | 71 | 80 | 89 | 68 | 59 | 70 | 71 | 56 | 69 | 64 | 63 | 0 | 35 | 78 | 23 | 4,000,000$/2yrs | |||
Thomas Novak | 0 | C | 100.00 | 53 | 32 | 96 | 65 | 72 | 79 | 84 | 66 | 75 | 68 | 71 | 56 | 68 | 72 | 71 | 0 | 35 | 76 | 28 | 3,500,000$/1yrs | |||
Yakov Trenin | 0 | C/LW | 100.00 | 88 | 40 | 79 | 57 | 80 | 78 | 89 | 57 | 72 | 57 | 63 | 72 | 60 | 72 | 70 | 0 | 38 | 73 | 28 | 3,500,000$/3yrs | |||
Colton Dach (R) | 0 | C/LW | 100.00 | 93 | 43 | 77 | 61 | 81 | 76 | 69 | 59 | 61 | 63 | 59 | 65 | 59 | 62 | 59 | 0 | 38 | 73 | 22 | 825,000$/1yrs | |||
Jack Drury | 0 | C | 100.00 | 61 | 37 | 87 | 61 | 68 | 77 | 88 | 60 | 84 | 63 | 61 | 64 | 61 | 67 | 66 | 0 | 35 | 72 | 25 | 2,500,000$/1yrs | |||
Peyton Krebs | 0 | C/LW | 100.00 | 74 | 40 | 73 | 59 | 73 | 78 | 90 | 60 | 79 | 63 | 60 | 57 | 60 | 65 | 62 | 0 | 35 | 71 | 24 | 2,500,000$/1yrs | |||
Jonathan Lekkerimaki | 0 | C/RW | 100.00 | 64 | 32 | 96 | 63 | 67 | 76 | 69 | 59 | 55 | 59 | 63 | 53 | 61 | 59 | 58 | 0 | 36 | 71 | 21 | 950,000$/1yrs | |||
Seth Jones | 0 | D | 99.00 | 72 | 34 | 85 | 67 | 86 | 98 | 85 | 67 | 30 | 72 | 64 | 81 | 66 | 77 | 75 | 0 | 35 | 83 | 31 | 9,500,000$/5yrs | |||
Miro Heiskanen | 4 | D | 99.00 | 63 | 33 | 86 | 73 | 77 | 97 | 84 | 67 | 30 | 78 | 63 | 67 | 65 | 68 | 67 | 0 | 35 | 82 | 26 | 8,000,000$/4yrs | |||
Michael Kesselring | 0 | D | 100.00 | 72 | 45 | 64 | 62 | 79 | 84 | 88 | 56 | 30 | 66 | 60 | 58 | 58 | 67 | 63 | 0 | 35 | 74 | 25 | 1,500,000$/1yrs | |||
Kaedan Korczak | 0 | D | 100.00 | 74 | 33 | 94 | 61 | 82 | 82 | 75 | 57 | 30 | 67 | 53 | 59 | 55 | 65 | 64 | 0 | 35 | 74 | 24 | 825,000$/5yrs | |||
Josh Mahura | 0 | D | 100.00 | 72 | 32 | 85 | 55 | 72 | 78 | 80 | 54 | 30 | 63 | 50 | 58 | 52 | 70 | 68 | 0 | 18 | 71 | 27 | 1,250,000$/3yrs | |||
Pierre-Olivier Joseph | 0 | D | 100.00 | 66 | 35 | 79 | 55 | 75 | 81 | 80 | 53 | 30 | 59 | 53 | 63 | 53 | 68 | 66 | 0 | 35 | 70 | 26 | 2,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Leon Gawanke | 9 | D | 100.00 | 72 | 40 | 72 | 53 | 78 | 67 | 84 | 52 | 30 | 58 | 58 | 66 | 58 | 65 | 62 | 0 | 26 | 70 | 26 | 775,000$/1yrs | |||
Nikita Okhotyuk | 0 | D | 100.00 | 85 | 42 | 50 | 45 | 77 | 60 | 69 | 45 | 30 | 50 | 48 | 65 | 49 | 62 | 57 | 0 | 26 | 64 | 24 | 800,000$/2yrs | |||
| TEAM AVERAGE | 99.85 | 72 | 37 | 79 | 63 | 77 | 81 | 83 | 61 | 53 | 65 | 64 | 64 | 63 | 68 | 66 | 0 | 33 | 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 | 97.00 | 85 | 84 | 76 | 83 | 85 | 74 | 86 | 88 | 85 | 88 | 86 | 70 | 75 | 0 | 19 | 87 | 27 | 3,750,000$/4yrs |
Jesper Wallstedt | 0 | 99.00 | 60 | 62 | 66 | 87 | 57 | 60 | 60 | 60 | 60 | 61 | 60 | 61 | 64 | 0 | 39 | 68 | 22 | 2,200,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.00 | 73 | 73 | 71 | 85 | 71 | 67 | 73 | 74 | 73 | 75 | 73 | 66 | 70 | 0 | 29 | 78 | |||
| 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 | Yegor Sharangovich | 0 | C/LW | 14 | 6 | 5 | 11 | -1 | 0 | 0 | 2 | 47 | 10 | 21 | 12.77% | 3 | 15.08 | 1 | 0 | 1 | 12 | 0 | 0 | 0 | 10 | 0 | 0 | 37.50% | 24 | 0 | 0 | 0 | 0 | 1.04 | 0 | 0 | |
| 2 | Andrei Svechnikov | 0 | LW/RW | 14 | 3 | 5 | 8 | -6 | 10 | 0 | 30 | 47 | 9 | 32 | 6.38% | 1 | 20.89 | 1 | 1 | 2 | 45 | 0 | 0 | 0 | 23 | 1 | 0 | 31.82% | 22 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 3 | Tom Wilson | 0 | RW | 14 | 3 | 5 | 8 | -5 | 27 | 5 | 45 | 62 | 17 | 45 | 4.84% | 2 | 18.48 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 16 | 0 | 0 | 28.57% | 42 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
| 4 | Josh Norris | 0 | C | 11 | 3 | 4 | 7 | -5 | 2 | 0 | 11 | 35 | 12 | 25 | 8.57% | 2 | 19.16 | 0 | 3 | 3 | 41 | 0 | 0 | 0 | 7 | 1 | 0 | 44.69% | 273 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
| 5 | Yakov Trenin | 0 | C/LW | 14 | 1 | 6 | 7 | 3 | 15 | 5 | 13 | 19 | 3 | 11 | 5.26% | 2 | 9.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 1 | 42.86% | 14 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | |
| 6 | Michael Kesselring | 0 | D | 14 | 2 | 4 | 6 | -6 | 16 | 0 | 42 | 17 | 5 | 13 | 11.76% | 22 | 19.84 | 0 | 0 | 0 | 37 | 0 | 0 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 7 | Jack Drury | 0 | C | 14 | 3 | 3 | 6 | 1 | 2 | 0 | 6 | 12 | 3 | 10 | 25.00% | 0 | 12.42 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 46 | 0 | 0 | 46.84% | 269 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
| 8 | Miro Heiskanen | 4 | D | 14 | 0 | 5 | 5 | -9 | 8 | 0 | 23 | 18 | 9 | 12 | 0.00% | 26 | 26.64 | 0 | 0 | 0 | 47 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 9 | Mason Marchment | 0 | C/LW/RW | 14 | 4 | 1 | 5 | -2 | 6 | 0 | 15 | 24 | 5 | 19 | 16.67% | 2 | 13.81 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 12 | 1 | 0 | 50.00% | 72 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 10 | Pierre-Olivier Joseph | 0 | D | 14 | 0 | 5 | 5 | 6 | 12 | 0 | 22 | 2 | 3 | 3 | 0.00% | 11 | 14.45 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 11 | Thomas Novak | 0 | C | 14 | 3 | 2 | 5 | -2 | 0 | 0 | 0 | 16 | 11 | 15 | 18.75% | 1 | 16.24 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 49.03% | 257 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 12 | Cole Perfetti | 0 | C/LW | 14 | 3 | 2 | 5 | -6 | 4 | 0 | 2 | 28 | 17 | 20 | 10.71% | 3 | 18.72 | 2 | 0 | 2 | 37 | 0 | 0 | 0 | 9 | 0 | 0 | 39.13% | 46 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 13 | Seth Jones | 0 | D | 14 | 1 | 1 | 2 | -11 | 14 | 0 | 32 | 33 | 11 | 15 | 3.03% | 33 | 26.20 | 0 | 1 | 1 | 47 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| 14 | Kaedan Korczak | 0 | D | 14 | 0 | 2 | 2 | -7 | 6 | 0 | 15 | 7 | 3 | 3 | 0.00% | 17 | 19.31 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
| 15 | Josh Mahura | 0 | D | 9 | 0 | 1 | 1 | 0 | 14 | 0 | 29 | 5 | 2 | 1 | 0.00% | 10 | 18.49 | 0 | 1 | 1 | 21 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 16 | Peyton Krebs | 0 | C/LW | 14 | 0 | 1 | 1 | -3 | 4 | 0 | 6 | 8 | 3 | 5 | 0.00% | 3 | 10.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 61.40% | 57 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 17 | Colton Dach | 0 | C/LW | 7 | 0 | 1 | 1 | -2 | 4 | 0 | 13 | 5 | 2 | 5 | 0.00% | 0 | 9.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 18 | Jonathan Lekkerimaki | 0 | C/RW | 13 | 1 | 0 | 1 | -3 | 2 | 0 | 3 | 6 | 3 | 6 | 16.67% | 2 | 10.13 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 34.78% | 23 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
| Team Total or Average | 236 | 33 | 53 | 86 | -58 | 146 | 10 | 309 | 391 | 128 | 261 | 8.44% | 140 | 16.78 | 4 | 7 | 11 | 426 | 0 | 0 | 0 | 436 | 4 | 1 | 46.00% | 1100 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
| 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 | 13 | 4 | 8 | 1 | 0.876 | 4.23 | 667 | 2 | 0 | 47 | 378 | 0 | 1 | 0 | 0.000 | 0 | 13 | 1 | 0 | 0 | 0 | |
| 2 | Jesper Wallstedt | 5 | 0 | 1 | 0 | 0.918 | 3.14 | 172 | 2 | 0 | 9 | 110 | 0 | 0 | 0 | 0.000 | 0 | 1 | 13 | 0 | 0 | 0 | |
| Team Total or Average | 18 | 4 | 9 | 1 | 0.885 | 4.00 | 840 | 4 | 0 | 56 | 488 | 0 | 1 | 0 | 0.000 | 0 | 14 | 14 | 0 | 0 | 0 |
| Projected Total Cap Hit | 77,587,204$ |
| Projected Cap Space | 17,912,796$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 12,390,576$ |
| Players In Salary Cap | 22 |
| 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 | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | |||||
Colton Dach | C/LW | 22 | 825,000$ | 825,000$ | RFA | ||||||
Jack Drury ![]() | C | 25 | 2,500,000$ | 2,500,000$ | |||||||
Jesper Wallstedt ![]() | G | 22 | 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 | ||||
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 | 24 | 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 | |
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$ | ||||||
Brooklyn Kalmikov | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Caedan Bankier | C | 22 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Case McCarthy | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Connor Mayer | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Daniil Gushchin | LW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
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 | 27 | 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 | ||||||
Jeremy Davies | D | 28 | 828,000$ | 828,000$ | 828,000$ | UFA | |||||
Justus Annunen | G | 25 | 1,000,000$ | 1,000,000$ | |||||||
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 | |||||
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 | ||||||
Tye Felhaber | LW | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Vasily Podkolzin | LW/RW | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 6 | 1 | 1 | 0 | 65 | 30 | 14 | 21 | 0 | 54 | 19 | 23 | 57 | 12 | 2 | 16.67% | 8 | 2 | 75.00% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 45 | 29 | 48 | 15 | 25 | 13 | 66.7% | 12.3% | 90.7% | 103.0 | FUN | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 23 | 9 | 7 | 7 | 0 | 45 | 16 | 10 | 17 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 18 | 12 | 29 | 7 | 12 | 5 | 28.6% | 8.7% | 86.7% | 95.4 | Unlucky | |
| 3 | 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 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 22 | 15 | 24 | 6 | 13 | 6 | 60.0% | 8.1% | 90.7% | 98.8 | Unlucky | |
| 4 | 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 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 20 | 14 | 27 | 6 | 11 | 5 | 25.0% | 4.5% | 90.0% | 94.5 | Unlucky | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 24 | 14 | 2 | 8 | 0 | 43 | 9 | 18 | 19 | 2 | 1 | 50.00% | 9 | 2 | 77.78% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 21 | 14 | 27 | 7 | 11 | 5 | 40.0% | 12.5% | 88.4% | 100.9 | FUN | |
| 6 | 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 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 24 | 15 | 23 | 6 | 11 | 5 | 60.0% | 10.7% | 88.4% | 99.1 | FUN | |
| 7 | 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 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 17 | 11 | 28 | 8 | 13 | 6 | 14.3% | 6.7% | 82.1% | 88.7 | Unlucky | |
| 8 | 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 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 23 | 15 | 24 | 8 | 12 | 6 | 75.0% | 7.3% | 92.9% | 100.2 | DULL | |
| 9 | 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 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 46 | 31 | 48 | 14 | 24 | 12 | 12.5% | 3.1% | 84.3% | 87.4 | Unlucky | |
| 10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 25 | 8 | 10 | 7 | 0 | 54 | 11 | 8 | 17 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 20 | 13 | 26 | 7 | 12 | 5 | 42.9% | 12.0% | 92.6% | 104.6 | LUCKY | |
| 11 | 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 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 19 | 12 | 27 | 6 | 13 | 6 | 33.3% | 3.8% | 87.2% | 91.0 | Unlucky | |
| 12 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 36 | 10 | 12 | 13 | 1 | 19 | 8 | 14 | 14 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 31 | 23 | 17 | 6 | 11 | 6 | 60.0% | 8.3% | 89.5% | 97.8 | Unlucky | |
| _Vs Division | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 0 | 0.000 | 8 | 13 | 21 | 0 | 0 | 4 | 1 | 3 | 0 | 102 | 35 | 43 | 24 | 0 | 155 | 38 | 28 | 79 | 7 | 0 | 0.00% | 14 | 6 | 57.14% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 85 | 57 | 104 | 28 | 50 | 24 | 38.1% | 7.8% | 87.7% | 95.6 | Unlucky | |
| _Vs Conference | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 19 | 35 | -16 | 4 | 0.250 | 19 | 30 | 49 | 0 | 0 | 11 | 3 | 5 | 0 | 216 | 79 | 70 | 67 | 0 | 293 | 88 | 77 | 182 | 22 | 2 | 9.09% | 34 | 12 | 64.71% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 169 | 111 | 209 | 58 | 101 | 48 | 42.5% | 8.8% | 88.1% | 96.9 | Unlucky | |
| _Since Last GM Reset | 14 | 3 | 9 | 0 | 1 | 1 | 0 | 0 | 33 | 56 | -23 | 9 | 0.321 | 33 | 56 | 89 | 0 | 0 | 15 | 8 | 9 | 1 | 407 | 150 | 133 | 123 | 1 | 488 | 141 | 144 | 298 | 50 | 4 | 8.00% | 65 | 16 | 75.38% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 312 | 210 | 353 | 102 | 174 | 85 | 42.0% | 8.1% | 88.5% | 96.6 | Unlucky | |
| Total | 14 | 3 | 9 | 0 | 1 | 1 | 0 | 0 | 33 | 56 | -23 | 9 | 0.321 | 33 | 56 | 89 | 0 | 0 | 15 | 8 | 9 | 1 | 407 | 150 | 133 | 123 | 1 | 488 | 141 | 144 | 298 | 50 | 4 | 8.00% | 65 | 16 | 75.38% | 0 | 216 | 469 | 46.06% | 226 | 519 | 43.55% | 108 | 217 | 49.77% | 312 | 210 | 353 | 102 | 174 | 85 | 42.0% | 8.1% | 88.5% | 96.6 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 469 |
| Neutral Zone Start | 217 |
| Defensive Zone Start | 519 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 550 |
| Faceoffs Lost | 655 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.7 | 9.57 |
| 2nd Period | 20.2 | 20.31 |
| 3rd Period | 29.0 | 30.68 |
| Overtime | 29.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.3 | 2.67 |
| Overtime | 2.4 | 2.83 |
| Even Strenght Goal | 29 |
|---|---|
| PP Goal | 4 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 1 |
| Lost | 3 | 6 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 50 |
|---|---|
| PP Goal | 4 |
| PK Attempt | 65 |
| PK Goal Against | 16 |
| Home | |
|---|---|
| Shots For | 29.1 |
| Shots Against | 34.9 |
| Goals For | 2.4 |
| Goals Against | 4.0 |
| Hits | 21.3 |
| Shots Blocked | 10.1 |
| Pim | 10.3 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 77,750,000$ | 0$ | 77,587,204$ | 17,750,000$ |
| 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 | 39645 | 33882 | 13089 | 26201 | 6554 |
| Attendance PCT | 94.39% | 96.81% | 93.49% | 93.58% | 93.63% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 34 | 17053 - 94.74% | 1,563,967$ | 10,947,769$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 77,750,000$ | 77,750,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 12,552,026$ | 404,948$ | 12,390,576$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 53,174,878$ | 161 | 410,156$ | 66,035,116$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 68,486,613$ | 77,750,000$ | 93,939,613$ | 78,627,878$ |
Rookie
Injured
Cold Streak
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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 | |||
| Blake Biondi | 2020 | 110 | |||
| Bogdan Konyushkov | 2023 | 107 | |||
| Caleb Desnoyers | 2025 | 3 | |||
| Cameron Berg | 2020 | 216 | |||
| Cameron Whynot | 2021 | 84 | |||
| Cayden Lindstrom | 2024 | 8 | |||
| Chase Yoder | |||||
| Daniil But | 2023 | 30 | |||
| David Edstrom | 2023 | 32 | |||
| David Rozsival | 2025 | 179 | |||
| Dean Letourneau | 2024 | 40 | |||
| 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 | |||
| Luca Marrelli | 2024 | 89 | |||
| Marek Vanacker | 2024 | 41 | |||
| Mason West | 2025 | 35 | |||
| Michael Hrabal | 2023 | 34 | |||
| Nicholas Moldenhauer | 2022 | 64 | |||
| Noel Nordh | 2023 | 96 | |||
| Pano Fimis | 2022 | 54 | |||
| Peyton Kettles | 2025 | 70 | |||
| Ryder Ritchie | 2024 | 30 | |||
| Ryker Lee | 2025 | 46 | |||
| Semyon Frolov | 2025 | 67 | |||
| Taige Harding | 2021 | 100 | |||
| Tinus-Luc Koblar | 2025 | 80 | |||
| Wyatt Schingoethe | 2020 | 163 |
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