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| Tampa Bay Lightning 4-9-2, 10pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Casey Mittelstadt | 0 | C/LW/RW | 100.00 | 58 | 33 | 88 | 69 | 77 | 85 | 90 | 66 | 82 | 73 | 68 | 56 | 67 | 69 | 68 | 0 | 32 | 78 | 26 | 2,000,000$/1yrs | |||
Jeff Skinner | 0 | LW | 100.00 | 61 | 33 | 85 | 68 | 75 | 80 | 88 | 67 | 60 | 65 | 73 | 56 | 70 | 80 | 79 | 0 | 32 | 78 | 33 | 7,000,000$/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 | 32 | 78 | 26 | 1,500,000$/3yrs | |||
Andrei Kuzmenko | 0 | LW | 100.00 | 57 | 32 | 93 | 68 | 74 | 81 | 86 | 68 | 65 | 71 | 71 | 54 | 69 | 74 | 73 | 0 | 32 | 78 | 29 | 7,500,000$/5yrs | |||
Teddy Blueger | 0 | C/LW | 100.00 | 72 | 36 | 84 | 63 | 72 | 80 | 88 | 61 | 84 | 67 | 60 | 76 | 61 | 77 | 75 | 0 | 32 | 76 | 31 | 2,750,000$/4yrs | |||
Nils Hoglander | 0 | LW/RW | 100.00 | 70 | 34 | 84 | 65 | 69 | 76 | 89 | 64 | 55 | 63 | 69 | 55 | 66 | 65 | 64 | 0 | 32 | 74 | 24 | 3,000,000$/3yrs | |||
Connor Brown | 0 | LW/RW | 100.00 | 58 | 32 | 95 | 59 | 71 | 78 | 89 | 58 | 59 | 62 | 62 | 70 | 60 | 78 | 77 | 0 | 32 | 73 | 31 | 4,000,000$/4yrs | |||
Nico Sturm | 0 | C/LW | 100.00 | 73 | 37 | 91 | 59 | 84 | 77 | 84 | 58 | 85 | 59 | 60 | 73 | 59 | 75 | 74 | 0 | 32 | 73 | 30 | 1,750,000$/2yrs | |||
Michael Eyssimont | 0 | C/LW | 100.00 | 74 | 46 | 64 | 55 | 71 | 74 | 90 | 60 | 59 | 60 | 63 | 55 | 61 | 73 | 69 | 0 | 29 | 71 | 29 | 800,000$/1yrs | |||
Fraser Minten (R) | 0 | C | 100.00 | 80 | 33 | 94 | 62 | 77 | 77 | 69 | 56 | 78 | 57 | 62 | 59 | 59 | 59 | 58 | 0 | 38 | 71 | 21 | 816,666$/2yrs | |||
Marat Khusnutdinov | 0 | C | 99.00 | 65 | 32 | 90 | 58 | 68 | 76 | 79 | 54 | 75 | 59 | 58 | 67 | 56 | 62 | 61 | 0 | 25 | 69 | 23 | 1,500,000$/3yrs | |||
Jack Studnicka | 0 | C/RW | 100.00 | 75 | 32 | 90 | 55 | 74 | 75 | 68 | 50 | 75 | 50 | 56 | 66 | 53 | 68 | 67 | 0 | 26 | 67 | 26 | 800,000$/1yrs | |||
Radko Gudas | 0 | D | 100.00 | 92 | 43 | 51 | 56 | 80 | 89 | 88 | 61 | 30 | 63 | 57 | 83 | 59 | 84 | 85 | 0 | 32 | 78 | 35 | 3,500,000$/3yrs | |||
Jani Hakanpaa | 0 | D | 100.00 | 89 | 38 | 83 | 55 | 93 | 87 | 75 | 61 | 30 | 61 | 55 | 82 | 58 | 81 | 79 | 0 | 32 | 77 | 33 | 2,000,000$/1yrs | |||
Nick Jensen | 0 | D | 100.00 | 65 | 33 | 95 | 55 | 80 | 89 | 88 | 59 | 30 | 64 | 54 | 72 | 56 | 83 | 83 | 0 | 32 | 76 | 35 | 4,000,000$/1yrs | |||
Nikita Zadorov | 91 | D | 100.00 | 85 | 57 | 50 | 58 | 99 | 88 | 89 | 58 | 30 | 64 | 58 | 71 | 58 | 75 | 70 | 0 | 32 | 76 | 30 | 4,000,000$/1yrs | |||
Andrew Peeke | 0 | D | 100.00 | 76 | 36 | 91 | 57 | 84 | 86 | 83 | 58 | 30 | 64 | 53 | 72 | 56 | 70 | 69 | 0 | 41 | 75 | 27 | 2,750,000$/1yrs | |||
Ryker Evans | 0 | D | 100.00 | 76 | 32 | 85 | 61 | 73 | 87 | 88 | 58 | 30 | 66 | 59 | 67 | 58 | 64 | 62 | 0 | 27 | 75 | 23 | 1,850,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
James van Riemsdyk | 0 | LW | 100.00 | 60 | 35 | 89 | 63 | 84 | 77 | 87 | 66 | 59 | 70 | 67 | 52 | 67 | 86 | 85 | 0 | 31 | 77 | 36 | 4,000,000$/1yrs | |||
Zemgus Girgensons | 0 | C/LW/RW | 100.00 | 81 | 43 | 84 | 55 | 80 | 75 | 88 | 56 | 74 | 56 | 58 | 68 | 57 | 77 | 76 | 0 | 27 | 71 | 31 | 1,255,000$/2yrs | |||
Matvei Gridin (R) | 0 | LW/RW | 100.00 | 64 | 39 | 83 | 60 | 75 | 65 | 86 | 55 | 40 | 57 | 58 | 62 | 58 | 56 | 54 | 0 | 30 | 68 | 19 | 942,500$/3yrs | |||
Sebastien Aho | 0 | D | 100.00 | 60 | 32 | 91 | 62 | 69 | 81 | 86 | 67 | 30 | 60 | 52 | 80 | 64 | 69 | 77 | 0 | 30 | 76 | 29 | 1,500,000$/1yrs | |||
Jack Rathbone | 0 | D | 100.00 | 66 | 39 | 81 | 50 | 70 | 65 | 68 | 49 | 30 | 56 | 53 | 68 | 55 | 68 | 66 | 0 | 31 | 68 | 26 | 800,000$/1yrs | |||
| TEAM AVERAGE | 99.96 | 70 | 37 | 84 | 60 | 77 | 80 | 84 | 60 | 55 | 62 | 61 | 66 | 61 | 72 | 71 | 0 | 31 | 74 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jeremy Swayman | 1 | 100.00 | 79 | 95 | 82 | 79 | 88 | 79 | 89 | 95 | 87 | 96 | 89 | 70 | 74 | 0 | 35 | 90 | 26 | 6,500,000$/6yrs |
Vitek Vanecek | 0 | 100.00 | 75 | 80 | 74 | 76 | 76 | 68 | 79 | 88 | 75 | 89 | 79 | 74 | 78 | 0 | 29 | 82 | 29 | 2,500,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 77 | 88 | 78 | 78 | 82 | 74 | 84 | 92 | 81 | 93 | 84 | 72 | 76 | 0 | 32 | 86 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dean Evason | 75 | 75 | 83 | 77 | 71 | 87 | 78 | CAN | 59 | 3 | 1,000,000$ |
| 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 | Casey Mittelstadt | 0 | C/LW/RW | 15 | 4 | 6 | 10 | -5 | 4 | 0 | 12 | 37 | 13 | 42 | 10.81% | 1 | 20.47 | 1 | 3 | 4 | 53 | 0 | 0 | 0 | 16 | 0 | 0 | 51.32% | 302 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 2 | Philipp Kurashev | 0 | C/LW/RW | 15 | 4 | 4 | 8 | -2 | 2 | 0 | 4 | 39 | 11 | 32 | 10.26% | 2 | 14.46 | 3 | 2 | 5 | 45 | 0 | 0 | 0 | 12 | 2 | 0 | 59.18% | 147 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
| 3 | Andrei Kuzmenko | 0 | LW | 15 | 3 | 4 | 7 | -5 | 2 | 0 | 15 | 44 | 14 | 31 | 6.82% | 1 | 18.44 | 0 | 2 | 2 | 53 | 0 | 0 | 0 | 0 | 1 | 0 | 45.00% | 20 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 4 | Teddy Blueger | 0 | C/LW | 15 | 2 | 4 | 6 | -7 | 10 | 0 | 20 | 31 | 11 | 41 | 6.45% | 3 | 16.59 | 0 | 2 | 2 | 56 | 0 | 0 | 0 | 34 | 0 | 0 | 56.76% | 259 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 5 | Radko Gudas | 0 | D | 15 | 3 | 3 | 6 | -2 | 46 | 0 | 64 | 34 | 11 | 18 | 8.82% | 29 | 22.60 | 3 | 0 | 3 | 55 | 0 | 0 | 0 | 43 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 6 | Nikita Zadorov | 91 | D | 15 | 0 | 5 | 5 | -7 | 38 | 10 | 61 | 16 | 7 | 10 | 0.00% | 18 | 23.25 | 0 | 2 | 2 | 50 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
| 7 | Jeff Skinner | 0 | LW | 15 | 1 | 3 | 4 | -1 | 0 | 0 | 5 | 24 | 13 | 20 | 4.17% | 2 | 11.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 10 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 8 | Nico Sturm | 0 | C/LW | 15 | 1 | 3 | 4 | -4 | 4 | 0 | 12 | 15 | 4 | 9 | 6.67% | 4 | 14.03 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 73 | 0 | 0 | 56.18% | 267 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 9 | Andrew Peeke | 0 | D | 14 | 0 | 4 | 4 | -6 | 4 | 0 | 10 | 10 | 2 | 6 | 0.00% | 14 | 19.13 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 10 | Nils Hoglander | 0 | LW/RW | 15 | 4 | 0 | 4 | -2 | 0 | 0 | 14 | 35 | 7 | 22 | 11.43% | 2 | 15.12 | 0 | 0 | 0 | 56 | 0 | 0 | 0 | 0 | 1 | 0 | 46.67% | 15 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 11 | Connor Brown | 0 | LW/RW | 15 | 0 | 3 | 3 | -7 | 2 | 0 | 4 | 20 | 4 | 18 | 0.00% | 3 | 11.16 | 0 | 2 | 2 | 44 | 0 | 0 | 0 | 13 | 0 | 0 | 39.53% | 43 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 12 | Marat Khusnutdinov | 0 | C | 4 | 1 | 2 | 3 | 1 | 0 | 0 | 3 | 6 | 0 | 4 | 16.67% | 1 | 23.34 | 0 | 2 | 2 | 13 | 0 | 0 | 0 | 25 | 0 | 0 | 47.62% | 84 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
| 13 | James van Riemsdyk | 0 | LW | 11 | 1 | 1 | 2 | -4 | 5 | 5 | 12 | 9 | 2 | 11 | 11.11% | 3 | 15.73 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 30 | 0 | 0 | 64.29% | 14 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 14 | Michael Eyssimont | 0 | C/LW | 13 | 0 | 2 | 2 | -2 | 10 | 0 | 23 | 12 | 1 | 5 | 0.00% | 1 | 12.01 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 29 | 0 | 0 | 41.30% | 46 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 15 | Ryker Evans | 0 | D | 11 | 0 | 2 | 2 | -4 | 0 | 0 | 6 | 5 | 3 | 5 | 0.00% | 10 | 16.49 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 16 | Nick Jensen | 0 | D | 15 | 0 | 1 | 1 | -6 | 2 | 0 | 3 | 9 | 4 | 9 | 0.00% | 19 | 17.22 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
| 17 | 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 | |
| 18 | Jani Hakanpaa | 0 | D | 15 | 0 | 1 | 1 | -7 | 14 | 0 | 25 | 11 | 1 | 11 | 0.00% | 14 | 15.59 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
| 19 | Fraser Minten | 0 | C | 3 | 0 | 1 | 1 | 0 | 4 | 0 | 5 | 3 | 0 | 2 | 0.00% | 1 | 15.14 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 51.35% | 37 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 20 | Matvei Gridin | 0 | LW/RW | 6 | 0 | 1 | 1 | -2 | 0 | 0 | 4 | 2 | 0 | 5 | 0.00% | 0 | 16.33 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 21 | Jack Studnicka | 0 | C/RW | 4 | 0 | 0 | 0 | -3 | 4 | 0 | 7 | 0 | 1 | 0 | 0.00% | 1 | 6.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 33 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 22 | 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 | |
| Team Total or Average | 254 | 24 | 51 | 75 | -76 | 153 | 15 | 315 | 370 | 112 | 304 | 6.49% | 131 | 16.33 | 7 | 16 | 23 | 507 | 0 | 0 | 0 | 471 | 4 | 1 | 52.84% | 1283 | 0 | 0 | 0 | 0 | 0.36 | 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 | Vitek Vanecek | 4 | 1 | 3 | 0 | 0.891 | 4.08 | 206 | 0 | 1 | 14 | 129 | 0 | 1 | 0 | 0.000 | 0 | 4 | 9 | 1 | 0 | 0 | |
| 2 | Jeremy Swayman | 8 | 1 | 5 | 1 | 0.908 | 3.04 | 454 | 0 | 1 | 23 | 251 | 0 | 0 | 0 | 0.000 | 0 | 7 | 5 | 1 | 0 | 0 | |
| Team Total or Average | 12 | 2 | 8 | 1 | 0.903 | 3.36 | 661 | 0 | 2 | 37 | 380 | 0 | 1 | 0 | 0.000 | 0 | 11 | 14 | 2 | 0 | 0 |
| Projected Total Cap Hit | 69,360,517$ |
| Projected Cap Space | 26,139,483$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 12,927,024$ |
| 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$ | |||||||
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 | |||
Fraser Minten | C | 21 | 816,666$ | 816,666$ | 816,666$ | RFA | |||||
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 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 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 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 20 | 13 | 26 | 8 | 12 | 5 | 33.3% | 4.0% | 90.0% | 94.0 | Unlucky | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 30 | 4 | 13 | 13 | 0 | 28 | 8 | 18 | 22 | 2 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 24 | 16 | 22 | 6 | 13 | 6 | 40.0% | 6.7% | 78.6% | 85.2 | Unlucky | |
| 4 | 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 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 19 | 13 | 28 | 6 | 11 | 5 | 20.0% | 4.3% | 90.2% | 94.6 | Unlucky | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 56 | 22 | 19 | 15 | 0 | 74 | 29 | 16 | 42 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 48 | 35 | 47 | 14 | 24 | 11 | 57.1% | 10.7% | 94.6% | 105.3 | LUCKY | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 23 | 5 | 8 | 10 | 0 | 35 | 8 | 2 | 21 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 25 | 17 | 21 | 7 | 13 | 6 | 37.5% | 13.0% | 82.9% | 95.9 | FUN | |
| 7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 23 | 10 | 11 | 1 | 1 | 40 | 10 | 12 | 19 | 6 | 3 | 50.00% | 6 | 1 | 83.33% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 23 | 15 | 27 | 8 | 12 | 5 | 0.0% | 13.0% | 90.0% | 103.0 | FUN | |
| 8 | 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 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 22 | 14 | 25 | 7 | 12 | 5 | 0.0% | 0.0% | 92.9% | 92.9 | DULL | |
| 9 | 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 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 24 | 16 | 22 | 6 | 12 | 6 | 0.0% | 0.0% | 95.5% | 95.5 | DULL | |
| 10 | 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 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 25 | 17 | 23 | 7 | 11 | 6 | 16.7% | 8.3% | 83.8% | 92.1 | Unlucky | |
| 11 | 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 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 24 | 16 | 23 | 7 | 12 | 5 | 25.0% | 3.8% | 90.9% | 94.8 | Unlucky | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 35 | 11 | 12 | 12 | 0 | 34 | 8 | 8 | 32 | 7 | 2 | 28.57% | 4 | 2 | 50.00% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 25 | 17 | 22 | 7 | 11 | 6 | 0.0% | 5.7% | 85.3% | 91.0 | Unlucky | |
| 13 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 3 | 0.750 | 5 | 9 | 14 | 0 | 1 | 4 | 1 | 0 | 0 | 50 | 12 | 22 | 14 | 2 | 76 | 10 | 29 | 42 | 10 | 1 | 10.00% | 12 | 1 | 91.67% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 45 | 29 | 50 | 16 | 27 | 14 | 66.7% | 10.0% | 96.1% | 106.1 | LUCKY | |
| _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 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 63 | 41 | 79 | 22 | 36 | 16 | 18.2% | 2.7% | 91.1% | 93.7 | Unlucky | |
| _Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 21 | -8 | 6 | 0.429 | 13 | 23 | 36 | 0 | 1 | 5 | 6 | 2 | 0 | 198 | 74 | 67 | 57 | 0 | 259 | 78 | 72 | 145 | 25 | 3 | 12.00% | 31 | 4 | 87.10% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 162 | 112 | 172 | 52 | 85 | 41 | 37.0% | 6.6% | 91.9% | 98.5 | DULL | |
| _Since Last GM Reset | 15 | 4 | 9 | 0 | 0 | 2 | 0 | 0 | 29 | 49 | -20 | 10 | 0.333 | 29 | 53 | 82 | 1 | 2 | 12 | 12 | 5 | 0 | 410 | 130 | 150 | 127 | 3 | 527 | 136 | 155 | 323 | 62 | 9 | 14.52% | 69 | 12 | 82.61% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 354 | 241 | 363 | 113 | 188 | 93 | 35.1% | 7.1% | 90.7% | 97.8 | Unlucky | |
| Total | 15 | 4 | 9 | 0 | 0 | 2 | 0 | 0 | 29 | 49 | -20 | 10 | 0.333 | 29 | 53 | 82 | 1 | 2 | 12 | 12 | 5 | 0 | 410 | 130 | 150 | 127 | 3 | 527 | 136 | 155 | 323 | 62 | 9 | 14.52% | 69 | 12 | 82.61% | 0 | 286 | 536 | 53.36% | 304 | 563 | 54.00% | 102 | 218 | 46.79% | 354 | 241 | 363 | 113 | 188 | 93 | 35.1% | 7.1% | 90.7% | 97.8 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 536 |
| Neutral Zone Start | 218 |
| Defensive Zone Start | 563 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 692 |
| Faceoffs Lost | 625 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.7 | 9.57 |
| 2nd Period | 18.7 | 20.31 |
| 3rd Period | 27.1 | 30.68 |
| Overtime | 27.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 1.9 | 2.67 |
| Overtime | 1.9 | 2.83 |
| Even Strenght Goal | 19 |
|---|---|
| PP Goal | 9 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 3 | 1 |
| Lost | 4 | 5 |
| Overtime Lost | 0 | 2 |
| PP Attempt | 62 |
|---|---|
| PP Goal | 9 |
| PK Attempt | 69 |
| PK Goal Against | 12 |
| Home | |
|---|---|
| Shots For | 27.3 |
| Shots Against | 35.1 |
| Goals For | 1.9 |
| Goals Against | 3.3 |
| Hits | 21.5 |
| Shots Blocked | 9.1 |
| Pim | 10.3 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 69,014,166$ | 0$ | 69,360,517$ | 26,485,834$ |
| 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 | 39982 | 32483 | 13106 | 26344 | 6597 |
| Attendance PCT | 95.20% | 92.81% | 93.61% | 94.09% | 94.24% |
| Income | |||||
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 34 | 16930 - 94.06% | 1,557,008$ | 10,899,059$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 69,014,166$ | 69,014,166$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 13,109,325$ | 359,449$ | 12,927,024$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 52,938,287$ | 157 | 364,657$ | 57,251,149$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 59,639,154$ | 69,014,166$ | 80,669,731$ | 73,968,864$ |
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 |
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| 2026 | ||||||||
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| 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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