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Full Scoreboard »» |
| Tampa Bay Lightning 2-6-0, 4pts · 15th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Mantha | 0 | LW/RW | 100.00 | 65 | 40 | 85 | 71 | 95 | 79 | 79 | 69 | 58 | 67 | 75 | 59 | 72 | 77 | 75 | 0 | 36 | 80 | 31 | 3,500,000$/2yrs | |||
Casey Mittelstadt | 0 | C/LW/RW | 99.00 | 58 | 33 | 88 | 69 | 77 | 85 | 90 | 66 | 82 | 73 | 68 | 56 | 67 | 69 | 68 | 0 | 36 | 78 | 26 | 2,000,000$/1yrs | |||
Jeff Skinner | 0 | LW | 100.00 | 61 | 33 | 85 | 68 | 75 | 80 | 88 | 67 | 60 | 65 | 73 | 56 | 70 | 80 | 79 | 0 | 36 | 78 | 33 | 7,000,000$/2yrs | |||
Philipp Kurashev | 0 | C/LW/RW | 100.00 | 60 | 34 | 89 | 70 | 74 | 84 | 85 | 67 | 75 | 70 | 68 | 64 | 68 | 68 | 67 | 0 | 36 | 78 | 26 | 1,500,000$/3yrs | |||
Andrei Kuzmenko | 0 | LW | 99.00 | 57 | 32 | 93 | 68 | 74 | 81 | 86 | 68 | 65 | 71 | 71 | 54 | 69 | 74 | 73 | 0 | 36 | 78 | 29 | 7,500,000$/5yrs | |||
James van Riemsdyk | 0 | LW | 99.00 | 60 | 35 | 89 | 63 | 84 | 77 | 87 | 66 | 59 | 70 | 67 | 52 | 67 | 86 | 85 | 0 | 36 | 77 | 36 | 4,000,000$/1yrs | |||
Teddy Blueger | 0 | C/LW | 100.00 | 72 | 36 | 84 | 63 | 72 | 80 | 88 | 61 | 84 | 67 | 60 | 76 | 61 | 77 | 75 | 0 | 36 | 76 | 31 | 2,750,000$/4yrs | |||
Nils Hoglander | 0 | LW/RW | 100.00 | 70 | 34 | 84 | 65 | 69 | 76 | 89 | 64 | 55 | 63 | 69 | 55 | 66 | 65 | 64 | 0 | 36 | 74 | 24 | 3,000,000$/3yrs | |||
Connor Brown | 0 | LW/RW | 100.00 | 58 | 32 | 95 | 59 | 71 | 78 | 89 | 58 | 59 | 62 | 62 | 70 | 60 | 78 | 77 | 0 | 36 | 73 | 31 | 4,000,000$/4yrs | |||
Nico Sturm | 0 | C/LW | 100.00 | 73 | 37 | 91 | 59 | 84 | 77 | 84 | 58 | 85 | 59 | 60 | 73 | 59 | 75 | 74 | 0 | 36 | 73 | 30 | 1,750,000$/2yrs | |||
Michael Eyssimont | 0 | C/LW | 100.00 | 74 | 46 | 64 | 55 | 71 | 74 | 90 | 60 | 59 | 60 | 63 | 55 | 61 | 73 | 69 | 0 | 33 | 71 | 29 | 800,000$/1yrs | |||
Matvei Gridin (R) | 0 | LW/RW | 100.00 | 64 | 39 | 83 | 60 | 75 | 65 | 86 | 55 | 40 | 57 | 58 | 62 | 58 | 56 | 54 | 0 | 34 | 68 | 19 | 942,500$/3yrs | |||
Radko Gudas | 0 | D | 99.00 | 92 | 43 | 51 | 56 | 80 | 89 | 88 | 61 | 30 | 63 | 57 | 83 | 59 | 84 | 85 | 0 | 36 | 78 | 35 | 3,500,000$/3yrs | |||
Jani Hakanpaa | 0 | D | 100.00 | 89 | 38 | 83 | 55 | 93 | 87 | 75 | 61 | 30 | 61 | 55 | 82 | 58 | 81 | 79 | 0 | 36 | 77 | 33 | 2,000,000$/1yrs | |||
Nick Jensen | 0 | D | 100.00 | 65 | 33 | 95 | 55 | 80 | 89 | 88 | 59 | 30 | 64 | 54 | 72 | 56 | 83 | 83 | 0 | 36 | 76 | 35 | 4,000,000$/1yrs | |||
Nikita Zadorov | 91 | D | 100.00 | 85 | 57 | 50 | 58 | 99 | 88 | 89 | 58 | 30 | 64 | 58 | 71 | 58 | 75 | 70 | 0 | 39 | 76 | 30 | 4,000,000$/1yrs | |||
Andrew Peeke | 0 | D | 100.00 | 76 | 36 | 91 | 57 | 84 | 86 | 83 | 58 | 30 | 64 | 53 | 72 | 56 | 70 | 69 | 0 | 45 | 75 | 27 | 2,750,000$/1yrs | |||
Ryker Evans | 0 | D | 100.00 | 76 | 32 | 85 | 61 | 73 | 87 | 88 | 58 | 30 | 66 | 59 | 67 | 58 | 64 | 62 | 0 | 31 | 75 | 23 | 1,850,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Zemgus Girgensons | 0 | C/LW/RW | 100.00 | 81 | 43 | 84 | 55 | 80 | 75 | 88 | 56 | 74 | 56 | 58 | 68 | 57 | 77 | 76 | 0 | 34 | 71 | 31 | 1,255,000$/2yrs | |||
Marat Khusnutdinov | 0 | C | 100.00 | 65 | 32 | 90 | 58 | 68 | 76 | 79 | 54 | 75 | 59 | 58 | 67 | 56 | 62 | 61 | 0 | 32 | 69 | 23 | 1,500,000$/3yrs | |||
Jack Studnicka | 0 | C/RW | 100.00 | 75 | 32 | 90 | 55 | 74 | 75 | 68 | 50 | 75 | 50 | 56 | 66 | 53 | 68 | 67 | 0 | 32 | 67 | 26 | 800,000$/1yrs | |||
Sebastien Aho | 0 | D | 100.00 | 60 | 32 | 91 | 62 | 69 | 81 | 86 | 67 | 30 | 60 | 52 | 80 | 64 | 69 | 77 | 0 | 37 | 76 | 29 | 1,500,000$/1yrs | |||
Jack Rathbone | 0 | D | 100.00 | 66 | 39 | 81 | 50 | 70 | 65 | 68 | 49 | 30 | 56 | 53 | 68 | 55 | 68 | 66 | 0 | 38 | 68 | 26 | 800,000$/1yrs | |||
| TEAM AVERAGE | 99.83 | 70 | 37 | 84 | 61 | 78 | 80 | 84 | 60 | 54 | 63 | 61 | 66 | 61 | 73 | 72 | 0 | 36 | 74 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jeremy Swayman | 1 | 98.00 | 79 | 95 | 82 | 79 | 88 | 79 | 89 | 95 | 87 | 96 | 89 | 70 | 74 | 0 | 38 | 90 | 26 | 6,500,000$/6yrs |
Vitek Vanecek | 0 | 100.00 | 75 | 80 | 74 | 76 | 76 | 68 | 79 | 88 | 75 | 89 | 79 | 74 | 78 | 0 | 31 | 82 | 29 | 2,500,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 77 | 88 | 78 | 78 | 82 | 74 | 84 | 92 | 81 | 93 | 84 | 72 | 76 | 0 | 35 | 86 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dean Evason | 75 | 75 | 83 | 77 | 71 | 87 | 78 | CAN | 59 | 3 | 1,000,000$ |
| General Manager | Etienne Dube |
|---|
| 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 | Philipp Kurashev | 0 | C/LW/RW | 8 | 1 | 3 | 4 | 0 | 0 | 0 | 3 | 16 | 2 | 17 | 6.25% | 0 | 13.83 | 1 | 1 | 2 | 19 | 0 | 0 | 0 | 12 | 0 | 0 | 56.12% | 98 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
| 2 | Andrei Kuzmenko | 0 | LW | 8 | 2 | 2 | 4 | -4 | 2 | 0 | 6 | 23 | 7 | 16 | 8.70% | 0 | 19.39 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 3 | Casey Mittelstadt | 0 | C/LW/RW | 8 | 1 | 1 | 2 | -4 | 4 | 0 | 5 | 16 | 10 | 20 | 6.25% | 0 | 21.03 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 12 | 0 | 0 | 49.75% | 201 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 4 | Anthony Mantha | 0 | LW/RW | 8 | 2 | 0 | 2 | -3 | 2 | 0 | 2 | 18 | 3 | 23 | 11.11% | 3 | 14.86 | 1 | 0 | 1 | 27 | 0 | 0 | 0 | 3 | 0 | 1 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 5 | Teddy Blueger | 0 | C/LW | 8 | 1 | 1 | 2 | -5 | 6 | 0 | 11 | 16 | 8 | 20 | 6.25% | 1 | 18.37 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 18 | 0 | 0 | 53.95% | 152 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 6 | Jeff Skinner | 0 | LW | 8 | 0 | 2 | 2 | 2 | 0 | 0 | 3 | 12 | 7 | 9 | 0.00% | 2 | 11.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 7 | Nikita Zadorov | 91 | D | 8 | 0 | 2 | 2 | -4 | 13 | 5 | 31 | 10 | 2 | 7 | 0.00% | 10 | 23.55 | 0 | 1 | 1 | 24 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 8 | Radko Gudas | 0 | D | 8 | 0 | 2 | 2 | -4 | 30 | 0 | 36 | 22 | 8 | 9 | 0.00% | 18 | 22.26 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 9 | Nils Hoglander | 0 | LW/RW | 8 | 2 | 0 | 2 | 0 | 0 | 0 | 5 | 21 | 1 | 11 | 9.52% | 1 | 14.91 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 0 | 1 | 0 | 54.55% | 11 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 10 | Connor Brown | 0 | LW/RW | 8 | 0 | 1 | 1 | -3 | 2 | 0 | 2 | 8 | 3 | 8 | 0.00% | 2 | 10.27 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 5 | 0 | 0 | 42.42% | 33 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 11 | James van Riemsdyk | 0 | LW | 8 | 1 | 0 | 1 | -5 | 5 | 5 | 7 | 7 | 2 | 8 | 14.29% | 1 | 14.78 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 19 | 0 | 0 | 66.67% | 12 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 12 | Michael Eyssimont | 0 | C/LW | 6 | 0 | 1 | 1 | -2 | 4 | 0 | 9 | 5 | 1 | 0 | 0.00% | 1 | 10.56 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 15 | 0 | 0 | 41.03% | 39 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 13 | Nick Jensen | 0 | D | 8 | 0 | 1 | 1 | -3 | 2 | 0 | 1 | 4 | 2 | 9 | 0.00% | 12 | 18.10 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 14 | Sebastien Aho | 0 | D | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 7 | 2 | 1 | 0.00% | 2 | 15.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 15 | Andrew Peeke | 0 | D | 7 | 0 | 1 | 1 | -2 | 4 | 0 | 7 | 5 | 1 | 3 | 0.00% | 8 | 17.34 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 16 | Jani Hakanpaa | 0 | D | 8 | 0 | 1 | 1 | -3 | 4 | 0 | 13 | 10 | 0 | 2 | 0.00% | 9 | 17.44 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 17 | Matvei Gridin | 0 | LW/RW | 3 | 0 | 1 | 1 | -2 | 0 | 0 | 3 | 2 | 0 | 3 | 0.00% | 0 | 17.01 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 18 | Zemgus Girgensons | 0 | C/LW/RW | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 4 | 1 | 1 | 2 | 0.00% | 0 | 9.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 19 | Nico Sturm | 0 | C/LW | 8 | 0 | 0 | 0 | -3 | 0 | 0 | 5 | 4 | 1 | 2 | 0.00% | 2 | 13.34 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 38 | 0 | 0 | 53.61% | 97 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 20 | Ryker Evans | 0 | D | 4 | 0 | 0 | 0 | -4 | 0 | 0 | 1 | 1 | 2 | 4 | 0.00% | 5 | 16.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 140 | 10 | 20 | 30 | -50 | 80 | 10 | 156 | 208 | 63 | 174 | 4.81% | 77 | 16.21 | 2 | 3 | 5 | 278 | 0 | 0 | 0 | 250 | 2 | 1 | 51.12% | 667 | 0 | 0 | 0 | 0 | 0.26 | 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 | Jeremy Swayman | 6 | 1 | 4 | 0 | 0.929 | 2.35 | 332 | 0 | 1 | 13 | 183 | 0 | 0 | 0 | 0.000 | 0 | 5 | 3 | 1 | 0 | 0 | |
| 2 | Vitek Vanecek | 2 | 0 | 2 | 0 | 0.860 | 5.58 | 86 | 0 | 0 | 8 | 57 | 0 | 1 | 0 | 0.000 | 0 | 2 | 4 | 0 | 0 | 0 | |
| Team Total or Average | 8 | 1 | 6 | 0 | 0.913 | 3.01 | 419 | 0 | 1 | 21 | 240 | 0 | 1 | 0 | 0.000 | 0 | 7 | 7 | 1 | 0 | 0 |
| Projected Total Cap Hit | 71,634,344$ |
| Projected Cap Space | 23,865,656$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 7,031,992$ |
| Players In Salary Cap | 25 |
| LTIR Players | 0 |
| Lightning Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Kuzmenko ![]() | LW | 29 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
Andrew Peeke ![]() | D | 27 | 2,750,000$ | 2,750,000$ | |||||||
Anthony Mantha ![]() | LW/RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Casey Mittelstadt ![]() | C/LW/RW | 26 | 2,000,000$ | 2,000,000$ | |||||||
Connor Brown ![]() | LW/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Jack Rathbone | D | 26 | 800,000$ | 800,000$ | |||||||
Jack Studnicka | C/RW | 26 | 800,000$ | 800,000$ | |||||||
James van Riemsdyk ![]() | LW | 36 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Jani Hakanpaa ![]() | D | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Jeff Skinner ![]() | LW | 33 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
| Jeremy Swayman | G | 26 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |
Marat Khusnutdinov ![]() | C | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||
Matvei Gridin | LW/RW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Michael Eyssimont | C/LW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Nick Jensen ![]() | D | 35 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Nico Sturm ![]() | C/LW | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Nikita Zadorov ![]() | D | 30 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Nils Hoglander ![]() | LW/RW | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Philipp Kurashev ![]() | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Radko Gudas ![]() | D | 35 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Ryker Evans ![]() | D | 23 | 1,850,000$ | 1,850,000$ | RFA | ||||||
Sebastien Aho ![]() | D | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Teddy Blueger ![]() | C/LW | 31 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||
| Vitek Vanecek | G | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Zemgus Girgensons ![]() | C/LW/RW | 31 | 1,255,000$ | 1,255,000$ | 1,255,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anri Ravinskis | LW/RW | 22 | 872,500$ | 872,500$ | 872,500$ | RFA | |||||
Ayrton Martino | LW | 23 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Blake Smith | D | 21 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | ||||
Braeden Bowman | C/LW/RW | 22 | 837,500$ | 837,500$ | 837,500$ | RFA | |||||
Brett Harrison | C | 22 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Carson Lambos | D | 22 | 863,333$ | 863,333$ | RFA | ||||||
Carson Meyer | RW | 28 | 800,000$ | 800,000$ | |||||||
Dans Locmelis | C | 21 | 860,000$ | 860,000$ | 860,000$ | 860,000$ | RFA | ||||
Eemil Viro | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Eetu Makiniemi | G | 26 | 800,000$ | 800,000$ | |||||||
Eriks Mateiko | LW/RW | 19 | 856,667$ | 856,667$ | 856,667$ | 856,667$ | RFA | ||||
Jakub Lauko | C | 25 | 1,200,000$ | 1,200,000$ | |||||||
Jesse Kiiskinen | RW | 20 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Jimmy Huntington | C | 26 | 900,000$ | 900,000$ | 900,000$ | ||||||
Joey Willis | C/LW | 20 | 860,000$ | 860,000$ | 860,000$ | 860,000$ | RFA | ||||
Kale Clague | D | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Konsta Helenius | C | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Liam Greentree | RW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Lucas Carlsson | D | 28 | 800,000$ | 800,000$ | |||||||
Luke Henman | C | 25 | 800,000$ | 800,000$ | |||||||
Marc McLaughlin | C | 26 | 800,000$ | 800,000$ | |||||||
Mason Jobst | C | 31 | 950,000$ | 950,000$ | UFA | ||||||
Michael DiPietro | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Niilopekka Muhonen | D | 19 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Samu Tuomaala | RW | 22 | 830,833$ | 830,833$ | RFA | ||||||
Samuel Helenius | C | 22 | 805,833$ | 805,833$ | RFA | ||||||
Sandis Vilmanis | LW | 22 | 855,000$ | 855,000$ | 855,000$ | RFA | |||||
Simon Zajicek | G | 24 | 872,500$ | 872,500$ | RFA | ||||||
Topias Vilen | D | 22 | 836,667$ | 836,667$ | RFA | ||||||
Trey Taylor | D | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Tristan Lennox | G | 23 | 867,500$ | 867,500$ | RFA | ||||||
Urho Vaakanainen | D | 26 | 1,000,000$ | 1,000,000$ | |||||||
Valtteri Pulli | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ |
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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 | 1 | 1 | 0 | 43 | 10 | 19 | 14 | 0 | 25 | 7 | 9 | 21 | 6 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 25 | 17 | 21 | 7 | 12 | 6 | 100.0% | 7.0% | 100.0% | 107.0 | DULL | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 25 | 11 | 7 | 7 | 0 | 40 | 11 | 14 | 20 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 20 | 13 | 26 | 8 | 12 | 5 | 33.3% | 4.0% | 90.0% | 94.0 | Unlucky | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 23 | 14 | 2 | 7 | 0 | 41 | 7 | 8 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 19 | 13 | 28 | 6 | 11 | 5 | 20.0% | 4.3% | 90.2% | 94.6 | Unlucky | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 20 | 7 | 9 | 4 | 0 | 45 | 16 | 10 | 13 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 22 | 16 | 25 | 6 | 11 | 5 | 66.7% | 15.0% | 95.6% | 110.6 | LUCKY | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 10 | 11 | 6 | 0 | 42 | 9 | 13 | 18 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 22 | 14 | 25 | 7 | 12 | 5 | 0.0% | 0.0% | 92.9% | 92.9 | DULL | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 6 | 7 | 12 | 0 | 22 | 7 | 6 | 21 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 24 | 16 | 22 | 6 | 12 | 6 | 0.0% | 0.0% | 95.5% | 95.5 | DULL | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 7 | 9 | 8 | 0 | 37 | 15 | 12 | 25 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 25 | 17 | 23 | 7 | 11 | 6 | 16.7% | 8.3% | 83.8% | 92.1 | Unlucky | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 8 | 10 | 8 | 0 | 33 | 7 | 8 | 21 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 24 | 16 | 23 | 7 | 12 | 5 | 25.0% | 3.8% | 90.9% | 94.8 | Unlucky | |
| _Vs Division | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 75 | 35 | 20 | 20 | 0 | 123 | 27 | 35 | 57 | 5 | 0 | 0.00% | 16 | 2 | 87.50% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 63 | 41 | 79 | 22 | 36 | 16 | 18.2% | 2.7% | 91.1% | 93.7 | Unlucky | |
| _Vs Conference | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 19 | -9 | 4 | 0.333 | 10 | 18 | 28 | 0 | 1 | 4 | 5 | 1 | 0 | 162 | 59 | 57 | 46 | 0 | 230 | 65 | 66 | 116 | 22 | 2 | 9.09% | 28 | 4 | 85.71% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 136 | 93 | 149 | 44 | 73 | 35 | 34.8% | 6.2% | 91.7% | 97.9 | DULL | |
| _Since Last GM Reset | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 11 | 23 | -12 | 4 | 0.250 | 11 | 20 | 31 | 0 | 1 | 4 | 6 | 1 | 0 | 213 | 73 | 74 | 66 | 0 | 285 | 79 | 80 | 158 | 30 | 2 | 6.67% | 34 | 4 | 88.24% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 185 | 126 | 196 | 59 | 98 | 48 | 32.1% | 5.2% | 91.9% | 97.1 | DULL | |
| Total | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 11 | 23 | -12 | 4 | 0.250 | 11 | 20 | 31 | 0 | 1 | 4 | 6 | 1 | 0 | 213 | 73 | 74 | 66 | 0 | 285 | 79 | 80 | 158 | 30 | 2 | 6.67% | 34 | 4 | 88.24% | 0 | 143 | 276 | 51.81% | 161 | 308 | 52.27% | 47 | 111 | 42.34% | 185 | 126 | 196 | 59 | 98 | 48 | 32.1% | 5.2% | 91.9% | 97.1 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 276 |
| Neutral Zone Start | 111 |
| Defensive Zone Start | 308 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 351 |
| Faceoffs Lost | 344 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.1 | 9.57 |
| 2nd Period | 18.4 | 20.31 |
| 3rd Period | 26.6 | 30.68 |
| Overtime | 26.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.3 | 1.65 |
| 3rd Period | 1.4 | 2.67 |
| Overtime | 1.4 | 2.83 |
| Even Strenght Goal | 9 |
|---|---|
| PP Goal | 2 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 1 |
| Lost | 3 | 3 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 30 |
|---|---|
| PP Goal | 2 |
| PK Attempt | 34 |
| PK Goal Against | 4 |
| Home | |
|---|---|
| Shots For | 26.6 |
| Shots Against | 35.6 |
| Goals For | 1.4 |
| Goals Against | 2.9 |
| Hits | 19.8 |
| Shots Blocked | 9.9 |
| Pim | 10.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 71,697,500$ | 0$ | 71,634,344$ | 23,802,500$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Amalie Arena | |
| City | Tampa Bay | ||
| 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 | 23401 | 18807 | 7559 | 15143 | 3795 |
| Attendance PCT | 97.50% | 94.04% | 94.49% | 94.64% | 94.88% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 37 | 17176 - 95.42% | 1,582,965$ | 6,331,859$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 71,697,500$ | 71,697,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 7,130,957$ | 373,424$ | 7,031,992$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 58,569,696$ | 173 | 378,633$ | 65,503,509$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 68,155,018$ | 71,697,500$ | 82,342,475$ | 72,757,153$ |
Rookie
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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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 |
|---|---|---|---|---|---|
| Albin Sundin | 2024 | 187 | |||
| Alexis Cournoyer | 2025 | 147 | |||
| Aron Kiviharju | 2024 | 35 | |||
| Blake Montgomery | 2024 | 127 | |||
| Bruno Osmanis | 2025 | 193 | |||
| Caeden Herrington | 2025 | 126 | |||
| Cameron MacDonald | 2021 | 160 | |||
| Carter Sanderson | 2025 | 178 | |||
| Cole Chandler | 2025 | 144 | |||
| Cooper Moore | 2019 | 156 | |||
| Daniel Nieminen | 2025 | 167 | |||
| Daniel Sambuco | 2021 | 220 | |||
| Dmitri Kostenko | 2021 | 96 | |||
| Eerik Wallenius | 2024 | 151 | |||
| Ethan Phillips | 2019 | 93 | |||
| Etienne Dube | 2025 | 222 | |||
| Heikki Ruohonen | 2024 | 123 | |||
| Hoyt Stanley | 2023 | 117 | |||
| Hugo Havelid | 2022 | 181 | |||
| Hunter St.Martin | 2024 | 189 | |||
| Jack Murtagh | 2025 | 24 | |||
| Jacob Kvasnicka | 2025 | 220 | |||
| James Reeder | 2024 | 211 | |||
| Janne Peltonen | 2023 | 205 | |||
| Jared Woolley | 2024 | 170 | |||
| Jeremy Michel | 2019 | 186 | |||
| Jonathan Morello | 2024 | 148 | |||
| Joona Saarelainen | 2024 | 162 | |||
| Kale Dach | 2025 | 169 | |||
| Kasper Pikkarainen | 2024 | 93 | |||
| Konnor Smith | 2023 | 116 | |||
| Liam Pettersson | 2025 | 69 | |||
| Linards Feldbergs | 2025 | 204 | |||
| Logan Cockerill | 5.5 - 4.5 | ||||
| Logan Hensler | 2025 | 21 | |||
| Luke Vlooswyk | 2025 | 174 | |||
| Markus Loponen | 2024 | 164 | |||
| Max Vig | 2025 | 208 | |||
| Maxim Sushko | |||||
| Nikita Tyurin | 2025 | 139 | |||
| Noah Powell | 2024 | 165 | |||
| Parker Alcos | 2024 | 192 | |||
| Petteri Nurmi | 2022 | 213 | |||
| Petteri Rimpinen | 2025 | 96 | |||
| Reid Dyck | 2022 | 135 | |||
| Rico Gredig | 2024 | 188 | |||
| Robert Flinton | 2021 | 224 | |||
| Sasha Boumedienne | 2025 | 33 | |||
| Servac Petrovsky | 2022 | 130 | |||
| Slava Demin | 6.0 - 7.0 | ||||
| Stepan Gorbunov | 2024 | 177 | |||
| Stevie Leskovar | 2024 | 191 | |||
| Theo Jacobsson | 2021 | 192 | |||
| Thimo Nickl | 2020 | 122 | |||
| Timofei Obvintsev | 2024 | 166 | |||
| Timur Kol | 2024 | 169 | |||
| Tomas Galvas | 2024 | 61 | |||
| Veeti Louhivaara | 2024 | 160 | |||
| Vladislav Lukashevich | 2021 | 123 | |||
| Wilson Bjorck | 2025 | 152 | |||
| Yaroslav Korostelyov | 2024 | 195 | |||
| Yegor Naumov | 2021 | 200 | |||
| Zakary Karpa | 2022 | 149 |
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