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Full Scoreboard »» |
Tampa Bay Lightning 2-2-0, 4pts · 10th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 65 | 40 | 85 | 71 | 95 | 79 | 79 | 69 | 58 | 67 | 75 | 59 | 72 | 77 | 75 | 0 | 41 | 80 | 31 | 3,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 33 | 88 | 69 | 77 | 85 | 90 | 66 | 82 | 73 | 68 | 56 | 67 | 69 | 68 | 0 | 41 | 78 | 26 | 2,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 33 | 85 | 68 | 75 | 80 | 88 | 67 | 60 | 65 | 73 | 56 | 70 | 80 | 79 | 0 | 41 | 78 | 33 | 7,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 34 | 89 | 70 | 74 | 84 | 85 | 67 | 75 | 70 | 68 | 64 | 68 | 68 | 67 | 0 | 41 | 78 | 26 | 1,500,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 57 | 32 | 93 | 68 | 74 | 81 | 86 | 68 | 65 | 71 | 71 | 54 | 69 | 74 | 73 | 0 | 41 | 78 | 29 | 7,500,000$/5yrs | |||
![]() | 0 | LW | 100.00 | 60 | 35 | 89 | 63 | 84 | 77 | 87 | 66 | 59 | 70 | 67 | 52 | 67 | 86 | 85 | 0 | 41 | 77 | 36 | 4,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 36 | 84 | 63 | 72 | 80 | 88 | 61 | 84 | 67 | 60 | 76 | 61 | 77 | 75 | 0 | 41 | 76 | 31 | 2,750,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 34 | 84 | 65 | 69 | 76 | 89 | 64 | 55 | 63 | 69 | 55 | 66 | 65 | 64 | 0 | 41 | 74 | 24 | 3,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 32 | 95 | 59 | 71 | 78 | 89 | 58 | 59 | 62 | 62 | 70 | 60 | 78 | 77 | 0 | 41 | 73 | 31 | 4,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 37 | 91 | 59 | 84 | 77 | 84 | 58 | 85 | 59 | 60 | 73 | 59 | 75 | 74 | 0 | 41 | 73 | 30 | 1,750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 74 | 46 | 64 | 55 | 71 | 74 | 90 | 60 | 59 | 60 | 63 | 55 | 61 | 73 | 69 | 0 | 35 | 70 | 29 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 39 | 83 | 60 | 75 | 65 | 86 | 55 | 40 | 57 | 58 | 62 | 58 | 56 | 54 | 0 | 36 | 68 | 19 | 942,500$/3yrs | |||
![]() | 0 | D | 100.00 | 92 | 43 | 51 | 56 | 80 | 89 | 88 | 61 | 30 | 63 | 57 | 83 | 59 | 84 | 85 | 0 | 41 | 78 | 35 | 3,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 89 | 38 | 83 | 55 | 93 | 87 | 75 | 61 | 30 | 61 | 55 | 82 | 58 | 81 | 79 | 0 | 41 | 77 | 33 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 95 | 55 | 80 | 89 | 88 | 59 | 30 | 64 | 54 | 72 | 56 | 83 | 83 | 0 | 41 | 76 | 35 | 4,000,000$/1yrs | |||
![]() | 91 | D | 100.00 | 85 | 57 | 50 | 58 | 99 | 88 | 89 | 58 | 30 | 64 | 58 | 71 | 58 | 75 | 70 | 0 | 44 | 76 | 30 | 4,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 36 | 91 | 57 | 84 | 86 | 83 | 58 | 30 | 64 | 53 | 72 | 56 | 70 | 69 | 0 | 50 | 75 | 27 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 32 | 85 | 61 | 73 | 87 | 88 | 58 | 30 | 66 | 59 | 67 | 58 | 64 | 62 | 0 | 33 | 75 | 23 | 1,850,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 81 | 43 | 84 | 55 | 80 | 75 | 88 | 56 | 74 | 56 | 58 | 68 | 57 | 77 | 76 | 0 | 35 | 71 | 31 | 1,255,000$/2yrs | |||
![]() | 0 | C | 100.00 | 65 | 32 | 90 | 58 | 68 | 76 | 79 | 54 | 75 | 59 | 58 | 67 | 56 | 62 | 61 | 0 | 33 | 69 | 23 | 1,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 32 | 90 | 55 | 74 | 75 | 68 | 50 | 75 | 50 | 56 | 66 | 53 | 68 | 67 | 0 | 33 | 67 | 26 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 91 | 62 | 69 | 81 | 86 | 67 | 30 | 60 | 52 | 80 | 64 | 69 | 77 | 0 | 41 | 76 | 29 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 39 | 81 | 50 | 70 | 65 | 68 | 49 | 30 | 56 | 53 | 68 | 55 | 68 | 66 | 0 | 39 | 67 | 26 | 800,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 70 | 37 | 84 | 61 | 78 | 80 | 84 | 60 | 54 | 63 | 61 | 66 | 61 | 73 | 72 | 0 | 40 | 74 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 1 | 100.00 | 79 | 95 | 82 | 79 | 88 | 79 | 89 | 95 | 87 | 96 | 89 | 70 | 74 | 0 | 42 | 90 | 26 | 6,500,000$/6yrs |
![]() | 0 | 100.00 | 75 | 80 | 74 | 76 | 76 | 68 | 79 | 88 | 75 | 89 | 79 | 74 | 78 | 0 | 40 | 82 | 29 | 2,500,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 77 | 88 | 78 | 78 | 82 | 74 | 84 | 92 | 81 | 93 | 84 | 72 | 76 | 0 | 41 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 75 | 75 | 83 | 77 | 71 | 87 | 78 | CAN | 59 | 3 | 1,000,000$ |
General Manager | Etienne Dube |
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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 |
# | 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 | Anthony Mantha | 0 | LW/RW | 4 | 2 | 0 | 2 | 1 | 2 | 0 | 1 | 8 | 2 | 13 | 25.00% | 1 | 15.22 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 3 | 0 | 1 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
2 | Teddy Blueger | 0 | C/LW | 4 | 1 | 1 | 2 | -1 | 2 | 0 | 4 | 14 | 5 | 11 | 7.14% | 1 | 19.99 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 9 | 0 | 0 | 50.00% | 60 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
3 | Philipp Kurashev | 0 | C/LW/RW | 4 | 0 | 2 | 2 | 1 | 0 | 0 | 2 | 8 | 1 | 7 | 0.00% | 0 | 12.97 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 12 | 0 | 0 | 56.25% | 48 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
4 | Andrei Kuzmenko | 0 | LW | 4 | 1 | 1 | 2 | -1 | 0 | 0 | 2 | 14 | 4 | 8 | 7.14% | 0 | 19.03 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
5 | Casey Mittelstadt | 0 | C/LW/RW | 4 | 0 | 1 | 1 | -1 | 2 | 0 | 2 | 7 | 5 | 9 | 0.00% | 0 | 22.06 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 12 | 0 | 0 | 53.27% | 107 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
6 | James van Riemsdyk | 0 | LW | 4 | 1 | 0 | 1 | -1 | 5 | 5 | 2 | 1 | 1 | 2 | 100.00% | 1 | 10.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
7 | Jeff Skinner | 0 | LW | 4 | 0 | 1 | 1 | 3 | 0 | 0 | 2 | 5 | 3 | 4 | 0.00% | 1 | 11.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
8 | Michael Eyssimont | 0 | C/LW | 2 | 0 | 1 | 1 | 0 | 2 | 0 | 3 | 3 | 1 | 0 | 0.00% | 0 | 13.70 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 6 | 0 | 0 | 40.00% | 35 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
9 | Nick Jensen | 0 | D | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 2 | 2 | 7 | 0.00% | 6 | 19.98 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
10 | Nikita Zadorov | 91 | D | 4 | 0 | 1 | 1 | -1 | 9 | 5 | 15 | 6 | 2 | 3 | 0.00% | 7 | 23.73 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
11 | Radko Gudas | 0 | D | 4 | 0 | 1 | 1 | 0 | 16 | 0 | 15 | 14 | 3 | 5 | 0.00% | 9 | 23.04 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
12 | Sebastien Aho | 0 | D | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 6 | 2 | 0 | 0.00% | 1 | 15.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
13 | Andrew Peeke | 0 | D | 4 | 0 | 1 | 1 | 1 | 4 | 0 | 7 | 2 | 1 | 2 | 0.00% | 7 | 14.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
14 | Jani Hakanpaa | 0 | D | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 6 | 0 | 2 | 0.00% | 5 | 19.00 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
15 | Nils Hoglander | 0 | LW/RW | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 4 | 10 | 0 | 8 | 10.00% | 0 | 14.70 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 85.71% | 7 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
16 | Connor Brown | 0 | LW/RW | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 0 | 3 | 1 | 3 | 0.00% | 1 | 8.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 26 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Zemgus Girgensons | 0 | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 0 | 6.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Nico Sturm | 0 | C/LW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 1 | 14.99 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 20 | 0 | 0 | 58.33% | 24 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 68 | 6 | 13 | 19 | 0 | 46 | 10 | 70 | 110 | 33 | 84 | 5.45% | 41 | 16.22 | 1 | 2 | 3 | 121 | 0 | 0 | 0 | 128 | 2 | 1 | 51.53% | 326 | 0 | 0 | 0 | 0 | 0.34 | 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 | 3 | 1 | 2 | 0 | 0.935 | 2.33 | 180 | 0 | 1 | 7 | 107 | 0 | 0 | 0 | 0.000 | 0 | 3 | 1 | 1 | 0 | 0 | |
Team Total or Average | 3 | 1 | 2 | 0 | 0.935 | 2.33 | 180 | 0 | 1 | 7 | 107 | 0 | 0 | 0 | 0.000 | 0 | 3 | 1 | 1 | 0 | 0 |
Projected Total Cap Hit | 66,561,458$ |
Projected Cap Space | 28,938,542$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 3,671,176$ |
Players In Salary Cap | 21 |
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 | 22 | 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 | 77 | 143 | 53.85% | 77 | 157 | 49.04% | 24 | 54 | 44.44% | 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 | 77 | 143 | 53.85% | 77 | 157 | 49.04% | 24 | 54 | 44.44% | 20 | 13 | 26 | 8 | 12 | 5 | 33.3% | 4.0% | 90.0% | 94.0 | Unlucky | |
3 | 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 | 77 | 143 | 53.85% | 77 | 157 | 49.04% | 24 | 54 | 44.44% | 22 | 16 | 25 | 6 | 11 | 5 | 66.7% | 15.0% | 95.6% | 110.6 | LUCKY | |
4 | 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 | 77 | 143 | 53.85% | 77 | 157 | 49.04% | 24 | 54 | 44.44% | 22 | 14 | 25 | 7 | 12 | 5 | 0.0% | 0.0% | 92.9% | 92.9 | DULL | |
_Vs Division | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 52 | 21 | 18 | 13 | 0 | 82 | 20 | 27 | 38 | 3 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 77 | 143 | 53.85% | 77 | 157 | 49.04% | 24 | 54 | 44.44% | 43 | 28 | 51 | 15 | 25 | 11 | 16.7% | 1.9% | 91.5% | 93.4 | DULL | |
_Vs Conference | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 4 | 0.500 | 7 | 13 | 20 | 0 | 1 | 2 | 4 | 1 | 0 | 115 | 38 | 46 | 31 | 0 | 152 | 43 | 46 | 72 | 13 | 1 | 7.69% | 18 | 3 | 83.33% | 0 | 77 | 143 | 53.85% | 77 | 157 | 49.04% | 24 | 54 | 44.44% | 91 | 62 | 98 | 30 | 49 | 24 | 50.0% | 6.1% | 94.1% | 100.2 | DULL | |
_Since Last GM Reset | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 4 | 0.500 | 7 | 13 | 20 | 0 | 1 | 2 | 4 | 1 | 0 | 115 | 38 | 46 | 31 | 0 | 152 | 43 | 46 | 72 | 13 | 1 | 7.69% | 18 | 3 | 83.33% | 0 | 77 | 143 | 53.85% | 77 | 157 | 49.04% | 24 | 54 | 44.44% | 91 | 62 | 98 | 30 | 49 | 24 | 50.0% | 6.1% | 94.1% | 100.2 | DULL | |
Total | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 4 | 0.500 | 7 | 13 | 20 | 0 | 1 | 2 | 4 | 1 | 0 | 115 | 38 | 46 | 31 | 0 | 152 | 43 | 46 | 72 | 13 | 1 | 7.69% | 18 | 3 | 83.33% | 0 | 77 | 143 | 53.85% | 77 | 157 | 49.04% | 24 | 54 | 44.44% | 91 | 62 | 98 | 30 | 49 | 24 | 50.0% | 6.1% | 94.1% | 100.2 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 143 |
Neutral Zone Start | 54 |
Defensive Zone Start | 157 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 178 |
Faceoffs Lost | 176 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 28.8 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 1.8 | 2.67 |
Overtime | 1.8 | 2.83 |
Even Strenght Goal | 6 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 1 |
PK Attempt | 18 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 28.8 |
Shots Against | 38.0 |
Goals For | 1.8 |
Goals Against | 2.3 |
Hits | 18.0 |
Shots Blocked | 10.8 |
Pim | 11.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
66,345,833$ | 0$ | 66,561,458$ | 29,154,167$ |
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 | 11401 | 9181 | 3717 | 7466 | 1919 |
Attendance PCT | 95.01% | 91.81% | 92.93% | 93.33% | 95.95% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 16842 - 93.57% | 1,554,479$ | 3,108,957$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
66,345,833$ | 66,345,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,723,260$ | 345,551$ | 3,671,176$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
60,624,662$ | 182 | 350,760$ | 63,838,320$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
67,143,460$ | 66,345,833$ | 82,675,491$ | 76,156,693$ |
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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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